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The document discusses hypothesis testing and statistical inference. It begins by defining two types of statistical inference - hypothesis testing and parameter estimation. Hypothesis testing determines if sample data is consistent with a hypothesized population parameter, while parameter estimation provides an approximate value of the population parameter.
It then discusses key aspects of hypothesis testing, including stating the null and alternative hypotheses, developing an analysis plan, analyzing sample data, and deciding whether to accept or reject the null hypothesis. Examples are provided to illustrate hypothesis testing methodology and key concepts like p-values, significance levels, directional versus non-directional hypotheses, and applying the steps of hypothesis testing to evaluate a research study's results.
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The document discusses how investor psychology and behavioral biases influence trends, consolidations, and reversals in the market. It explains that markets are driven by expectations, which arise from beliefs, biases, emotions like fear and greed. During trends, positive feedback loops cause prices to self-promote in a direction due to bias. Consolidations involve varying emotions as fear and hope as the trend interrupts. At tops and bottoms, cognitive dissonance causes investors to ignore contrary evidence or double down due to bias. Understanding these behavioral elements can provide insight into how and why markets move.
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The document discusses hypothesis testing and statistical inference. It begins by defining two types of statistical inference - hypothesis testing and parameter estimation. Hypothesis testing determines if sample data is consistent with a hypothesized population parameter, while parameter estimation provides an approximate value of the population parameter.
It then discusses key aspects of hypothesis testing, including stating the null and alternative hypotheses, developing an analysis plan, analyzing sample data, and deciding whether to accept or reject the null hypothesis. Examples are provided to illustrate hypothesis testing methodology and key concepts like p-values, significance levels, directional versus non-directional hypotheses, and applying the steps of hypothesis testing to evaluate a research study's results.
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The document discusses how investor psychology and behavioral biases influence trends, consolidations, and reversals in the market. It explains that markets are driven by expectations, which arise from beliefs, biases, emotions like fear and greed. During trends, positive feedback loops cause prices to self-promote in a direction due to bias. Consolidations involve varying emotions as fear and hope as the trend interrupts. At tops and bottoms, cognitive dissonance causes investors to ignore contrary evidence or double down due to bias. Understanding these behavioral elements can provide insight into how and why markets move.
Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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The document discusses and debunks 10 common myths about momentum investing. It addresses the myths that momentum returns are too small and sporadic, that it can only be exploited on the short side, that it is stronger for small caps than large caps, and that it cannot survive trading costs. It also discusses myths that momentum does not work for taxable investors, is best used with screens, or that its returns may disappear. Further, it addresses myths that momentum is too volatile, that different measures may yield different results, and that there is no underlying theory for momentum. The document provides evidence and analysis to show that each of these myths about momentum investing are unfounded.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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This document discusses several practical considerations for risk management in trading systems, including:
1) Planning for system development and testing by acquiring appropriate data and combining standard techniques, as well as addressing overfitting and other issues.
2) Assessing the impact of price shocks and formulating plans to manage risks from large market moves using money management techniques from gambling theory like Martingales and Anti-Martingales.
3) Evaluating the trade-off between trend-following and mean-reverting systems, where trend systems have longer time periods and thus greater lag but are generally more successful, while mean reversion has lower risk per trade but fewer opportunities.
Understanding for Incorporation, client bias diagnoses into the enhanced marketing and sales of investment products whilst, building mutual and beneficial long-term relationships.
Representativeness bias refers to judging the probability of an event based on similarity to familiar prototypes rather than objective statistics. This can lead investors to ignore base rates and sample sizes when making decisions. For example, investors may overweight recent stock performance or the views of a broker based on a small number of picks. To overcome this bias, investors should be aware of it, consider base rates and full sample sizes through Bayesian thinking, and rely more on analytical thinking than subjective assessments. Representativeness bias can cause poor financial decisions if objective data is ignored.
Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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The document discusses and debunks 10 common myths about momentum investing. It addresses the myths that momentum returns are too small and sporadic, that it can only be exploited on the short side, that it is stronger for small caps than large caps, and that it cannot survive trading costs. It also discusses myths that momentum does not work for taxable investors, is best used with screens, or that its returns may disappear. Further, it addresses myths that momentum is too volatile, that different measures may yield different results, and that there is no underlying theory for momentum. The document provides evidence and analysis to show that each of these myths about momentum investing are unfounded.
Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
https://www.ptaindia.com/chartered-market-technician/
Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
https://www.ptaindia.com/chartered-market-technician/
Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
https://www.ptaindia.com/chartered-market-technician/
Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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Join CMT Level 1, 2 & 3 Program Courses & become a professional Technical Analyst, CMT USA Best COACHING CLASSES. CMT Institute Live Classes by Expert Faculty. Exams are available in India. Best Career in Financial Market.
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This document discusses several practical considerations for risk management in trading systems, including:
1) Planning for system development and testing by acquiring appropriate data and combining standard techniques, as well as addressing overfitting and other issues.
2) Assessing the impact of price shocks and formulating plans to manage risks from large market moves using money management techniques from gambling theory like Martingales and Anti-Martingales.
3) Evaluating the trade-off between trend-following and mean-reverting systems, where trend systems have longer time periods and thus greater lag but are generally more successful, while mean reversion has lower risk per trade but fewer opportunities.
Understanding for Incorporation, client bias diagnoses into the enhanced marketing and sales of investment products whilst, building mutual and beneficial long-term relationships.
Representativeness bias refers to judging the probability of an event based on similarity to familiar prototypes rather than objective statistics. This can lead investors to ignore base rates and sample sizes when making decisions. For example, investors may overweight recent stock performance or the views of a broker based on a small number of picks. To overcome this bias, investors should be aware of it, consider base rates and full sample sizes through Bayesian thinking, and rely more on analytical thinking than subjective assessments. Representativeness bias can cause poor financial decisions if objective data is ignored.
This document discusses various cognitive biases that can affect investment performance. It identifies 12 common biases: overconfidence, familiarity, anchoring, confirmation bias, mental accounting, illusion of control, recency bias, hindsight bias, herd mentality, representativeness, self-attribution bias, and trend-chasing bias. These biases can cause investors to ignore evidence, become overly concentrated, rely too heavily on past information, and make decisions based on social and emotional factors rather than objective analysis. Avoiding cognitive biases allows investors to make impartial decisions based solely on available data.
This document discusses various cognitive biases that can affect investment performance. It identifies 12 common biases: overconfidence, familiarity, anchoring, confirmation bias, mental accounting, illusion of control, recency bias, hindsight bias, herd mentality, representativeness, self-attribution bias, and trend-chasing bias. These biases can cause investors to ignore evidence, become overly concentrated, rely too heavily on past information, and make decisions based on social and emotional factors rather than objective analysis. Avoiding cognitive biases allows investors to make impartial decisions based solely on available data.
Understanding how the mind can help or hinder investment successRavi Abeysuriya
This document provides an overview of behavioral finance and how psychological biases can influence investment decisions. Some key points:
- Behavioral finance studies how emotions and psychological biases can cause investors to make irrational financial decisions. Understanding these biases can help advisers improve their recommendations and clients' investment outcomes.
- Traditional finance assumes investors are rational, while behavioral finance recognizes that normal human investors are not perfectly rational and can be swayed by emotions and cognitive biases.
- Common biases that can negatively impact investing include overconfidence, herd mentality, loss aversion, anchoring, and narrow framing.
- By understanding these biases, advisers can help clients avoid common pitfalls and make more informed financial decisions. Techniques like
Seven Emotional Biases Financial Advisors Need to KnowFinworx
We don’t always make the most rational decisions. We have
constraints, and our comfort levels vary in response to
uncertainty, which is not considered in traditional economics.
This document summarizes an annual seminar presentation given by Sushila, a doctoral research scholar. The presentation outlined her research on the impact of behavioural biases on individual equity investors in the National Capital Region of India. The presentation introduced behavioural finance concepts and highlighted key behavioral biases like anchoring bias, availability bias, and loss aversion. It described Sushila's literature review process, identification of 17 biases, and development of a conceptual model relating demographic factors and biases to investment decisions. The presentation concluded with details about Sushila's questionnaire to measure biases and a paper she published on applying behavioral finance to stock market investment decisions.
Investor behaviour often deviates from logic and reason, and investors display many behaviour biases that influence their investment decision-making processes. The authors describe some common behavioural biases and suggest how to mitigate them.
The document discusses the emergence of behavioral finance as an alternative to traditional finance models. Traditional finance assumes rational decision-making, while behavioral finance recognizes psychological and emotional factors that can lead to irrational behavior. Key differences include traditional finance assuming perfect processing of information versus behavioral finance recognizing cognitive biases. Additionally, traditional finance sees framing as inconsequential while behavioral finance finds perceptions influenced by framing. The document then examines specific cognitive biases like representativeness, overconfidence, anchoring, ambiguity aversion, and innumeracy that impact decisions. It also discusses the concepts of prospect theory and mental accounting in relation to framing dependence.
Individual financial advisory with respect to individual clients has occupied center stage especially due to the attendant effects of the global COVID-19 pandemic. Clients as well as advisors have had to react to these changes.
This is the first part of a two part presentation that will assist advisors/ individual wealth managers anticipate and react/address client management in a customised manner.
FS_Advice_-_Leverage-_Where_Advisers_Fear_to_Tread_-_Julie_MckayClaire Starr MBA
This document discusses the challenges financial advisers face when customers have unrealistic expectations but want conservative investment options. It notes that the gap between expectations and reality is widening due to factors like longer lifespans, higher costs of living, and lower expected returns. While saving more is important, the document argues that taking prudent risks, such as borrowing to invest, may be necessary to boost returns enough to meet goals. It acknowledges advisers are cautious about recommending borrowing but suggests rules of thumb could overlook opportunities if risks are properly managed through diversification and portfolio adjustments.
This document discusses the process of learning about clients in order to develop an effective investment policy and strategy. It outlines how investment advisors gather information through client interviews and questionnaires to understand a client's personal situation, financial situation, goals, and risk tolerance. Advisors need to be aware that clients may have difficulty expressing themselves or their true risk tolerance. Questionnaires provide standardized information but have limitations. Overall the process aims to develop a holistic understanding of the client to inform the investment policy statement and ensure their portfolio meets their needs and risk profile.
Behavioral finance is the study of how psychology affects the behavior of investors and financial markets. Traditional finance assumes investors are rational, but behavioral finance recognizes that investors are normal humans subject to cognitive biases. Some of the key concepts of behavioral finance include that investors have limits to self-control and are influenced by biases like overconfidence, confirmation bias, and narrative deception when processing information.
Women can't afford to avoid investing, but they don't have to do it alone either. Do your due dilligence on selecting a financial advisor who actually has additional credentials beyond just being licensed to sell you an investment. Ask the advisor how long they have been in the business, and what have they done to become a better advisor since they started. Just because someone has been in the business 15 years, doesn't mean they haven't simply repeated the first year 14 other times!
1) The document discusses challenges in financial advising from the perspective of behavioral finance. It covers intuitive vs reflective minds, investor paralysis after the 2008 crisis, lack of investor discipline, and loss of trust in financial institutions.
2) To address investor paralysis, the document recommends an "Invest More Tomorrow" strategy where investors pre-commit to periodic investments to overcome loss aversion and procrastination.
3) To address lack of discipline, it suggests a "Ulysses Strategy" where investors pre-commit to a rational investment plan through a signed memorandum to resist herd behavior.
4) To regain trust, advisers should demonstrate competence by admitting luck, discussing downsides, showing empathy through frequent contact, and
Capital biasReducing human error in capital decision-makingTawnaDelatorrejs
Capital bias
Reducing human error in capital decision-making
A report by the
Center for Integrated Research
Deloitte’s Capital Efficiency practice helps organizations make better and faster decisions by
assisting them in improving the quality of their capital allocation decisions to enhance robustness,
efficiency, and return on investment.
Capital bias
The balancing act | 2
Choreographing the optimism bias, expert bias,
and narrow framing | 3
Mitigating biases in planning: The US Navy | 7
Prioritization: Leveling the playing field | 9
Stripping away your own organization’s biases | 11
Endnotes | 12
CONTENTS
Reducing human error in capital decision-making
1
A look at the S&P 500 suggests just how dif-ficult it can be to consistently drive positive results. Take one measure, return on in-
vested capital (ROIC). In a Deloitte study, neither
the amount of capital expenditures (as a percentage
of revenue) nor the growth in capital expenditure
demonstrated any kind of meaningful correlation
with ROIC.1 Regardless of industry, individual com-
panies can often have a difficult time maintaining
high and steady returns on their investments year
over year.
Given such uncertainty in capital allocation re-
sults, it may not be surprising that more than 60
percent of finance executives say they are not con-
fident in their organization’s ability to optimally al-
locate capital.2 After all, many companies are bal-
ancing competing priorities, diverse stakeholder
interests, and a complex variety of proposals that
can make capital allocation decisions even more dif-
ficult to execute in practice.
Why is this? On paper it seems practical enough
for everyone throughout the organization to be on
the same page. In an ideal world, a company estab-
lishes the goals and priorities; then, from senior
managers to frontline employees, everyone is ex-
pected to act in a manner that supports these man-
dates.
However, behavioral science, and possibly your
own experience, suggest it’s likely not always that
simple. Individuals at any level of an organization
may be overly optimistic about certain courses of
action, rely too much on specific pieces of informa-
tion (and people), or simply interpret the objective
through too narrow a lens (that may even run coun-
ter to other views on how to achieve these goals).
Within the behavioral science field, these are
referred to as cognitive biases and they exist in
many endeavors, not just capital planning. These
same biases can explain why we are too optimistic
about our retirement portfolios, can rely solely on
the opinions of experts in matters of health, and
narrowly frame our car buying decisions based on
a single attribute, such as fuel efficiency—ignoring
safety features, price, and aesthetic design. In the
language of the behavioral sciences, these translate
into the optimism bias, expert bias, and narrow
framing, respectively.
Though these biases, an ...
Capital bias reducing human error in capital decision makingsodhi3
The US Navy improved its capital planning process to reduce biases by setting aggressive energy goals to source 50% of energy from alternatives by 2020. When field managers developed capital requests, the Navy Installations Command organized the process to align spending with these energy goals. Specifically, it established a scoring framework linking requests to specific, observable metrics related to the goals, providing consistency and minimizing biases compared to past practices that relied on tiers lacking specificity. This helped achieve a broader view aligning all requests with the Navy's requirements.
Wealth Management/ Individual financial advisory with respect to individual clients has occupied center stage especially due to the attendant effects of the global COVID-19 pandemic. Clients as well as advisors have had to react to these changes. This is the first part of a two part presentation that will assist advisors/ individual wealth managers anticipate and react/address client management in a customised manner
The document discusses how behavioral finance is important for financial planners and investors to understand. It begins by contrasting traditional finance, which assumes rational behavior, with behavioral finance, which incorporates psychological factors. Investors exhibit biases like the disposition effect of selling winners too early and holding losers too long. Planners can help by framing investments in terms of future spending goals rather than just returns. The document provides several other examples of biases, like familiarity bias, and suggests how understanding these behaviors can help planners develop strategies to improve clients' decision making. Overall, the document emphasizes that financial decisions are influenced by emotions and cognitive errors, so behavioral insights are crucial for advisors.
Similar to Behavioural Finance - CHAPTER 15 – Behavioural Biases | CMT Level 3 | Chartered Market Technician | Professional Training Academy (20)
The document outlines the knowledge domains and weightings covered on the CMT Level I exam. It details that the exam focuses on introductory technical analysis concepts and consists of 132 multiple choice questions, of which 120 are scored. Candidates have two hours to complete the exam, which is administered on a computer at Prometric testing facilities. The major knowledge domains covered include trend analysis, chart and pattern analysis, selection and decision making, and ethics.
Standard VI addresses conflicts of interest. It requires members and candidates to (1) make full disclosure of any matters that could impair their independence or objectivity or interfere with client duties, (2) ensure disclosures are clear and prominent, and (3) give priority to client and employer transactions over personal transactions. Members must also disclose any compensation received for referrals.
This document outlines standards for investment analysis, recommendations, and actions. It discusses three key standards:
1) Diligence and reasonable basis, requiring members to exercise diligence, independence, and thoroughness when analyzing investments and making recommendations, and to have an adequate and supported basis for their analysis and actions.
2) Communication with clients, requiring members to disclose their investment processes, limitations, and risks to clients, use reasonable judgment in identifying important factors, and distinguish fact from opinion.
3) Record retention, requiring members to develop and maintain records supporting their analysis, recommendations, communications with clients.
Members and candidates must act for the benefit of their employer, not deprive them of skills/abilities or divulge confidential information. They cannot accept gifts or compensation that conflict with the employer's interests without consent. Members must make reasonable efforts to ensure anyone under their supervision complies with applicable laws, rules, regulations, and the Code and Standards.
Standard III outlines the duties CFA charterholders owe to their clients, including the duties of loyalty, prudence, care, fair dealing, suitability, performance presentation, and preservation of confidentiality. Specifically, it states that members must act in the best interest of clients, make suitable investment recommendations based on a client's needs and constraints, communicate performance information fairly and accurately, and keep client information confidential.
Members and candidates must uphold the integrity of capital markets. Specifically, they must not trade or share material non-public information that could affect investment prices. They also should not engage in practices like price distortion or artificially inflating trading volume with the intent to mislead others in the market. This standard is meant to promote ethical conduct and protect investors.
The document summarizes standards of professionalism for CMT Level I regarding knowledge of the law, independence and objectivity, misrepresentation, and misconduct. Standard I(A) states that members must understand and comply with all applicable laws and regulations, and in conflicts comply with the more strict rule. Standard I(B) requires members to maintain independence and objectivity and not accept gifts that could compromise their judgment. Standard I(C) prohibits knowingly misrepresenting analysis or recommendations. Standard I(D) prohibits conduct involving dishonesty, fraud, or deceit, or acts that adversely affect one's professional reputation.
Relative strength compares the performance of one asset to another over a period of time by taking the price of one and dividing it by the other. It provides context on whether an asset is undervalued or overvalued relative to its historical trading range compared to the other. Pairs trading strategies look for opportunities when two historically correlated assets diverge in their relative strength. Tools for analyzing relative strength include price ratios, relative strength ranks based on market performance, volatility ranks, and identifying bullish or bearish divergences in the price relative.
The document discusses the model-building process for a market-timing model. It describes including various types of indicators such as internal/price-based, external/macroeconomic, sentiment, valuation, monetary, and momentum. These indicators are tested individually and combined to form a composite reading. The composite reading can then be used to guide asset allocation decisions in a disciplined and objective manner. The goal is to create a stable, predictable model that avoids emotional decisions and captures risk and reward signals.
The document discusses keys to making money in investing rather than focusing on being right in forecasts. It summarizes that successful investors use objective indicators rather than emotions, have discipline to stick to their system, are flexible enough to change their view when evidence shifts, and carefully manage risks. It provides insights from legendary investors like John Bogle, Paul Tudor Jones, and the Ned Davis Research Group about relying on indicators, not fighting trends, being wary of crowds at extremes, and prioritizing money making over being right.
This document discusses objective vs subjective technical analysis. Objective analysis uses clearly defined rules that can be backtested, while subjective analysis relies on private interpretations that may differ between analysts. The document focuses on objective analysis and defines rules as functions that transform market data into signals. It discusses factors like position bias, market trends, and look-ahead bias that can influence backtest results. Detrending data and accounting for trading costs are presented as ways to properly evaluate rules.
This document provides an introduction to probability concepts. It defines probability as the chance of an event occurring and lists some key rules, such as the probabilities of all possible outcomes must sum to 1. It describes the normal probability distribution as a bell-shaped curve that is symmetric around the expected rate of return. It then discusses skewness and kurtosis as measures of the asymmetry and peakedness of a distribution.
This document defines and explains key concepts in descriptive statistics, including measures of central tendency (mean, median, mode) and measures of variability (standard deviation, variance). It provides formulas and examples for calculating each measure. The mean is the most common measure of central tendency and is the average value, while the median is the middle value and mode is the most frequent value. Standard deviation and variance are measures of how spread out the values are around the mean.
The document discusses several sentiment measures derived from external data sources:
1) The American Association of Individual Investors surveys individual investors to gauge bullish or bearish sentiment.
2) Investors Intelligence tracks sentiment indicators like advisor reviews and insider activity to measure market participant sentiment.
3) Magazine cover indicators, like analyzing covers of BusinessWeek, Forbes, and Fortune, are sometimes used as a contrary indicator of economic sentiment.
4) Mutual fund liquidity ratios and money market fund assets are also discussed as measures of investor risk appetite and market sentiment.
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Market sentiment refers to the overall attitude of investors toward a particular security or financial market. It indicates whether investors are feeling bullish and prices are rising, or bearish and prices are falling. There are several indicators that can help measure market sentiment, such as the VIX, high-low index, and bullish percent index. Key takeaways are that market sentiment reflects overall consensus on stocks and whether the tone is optimistic or pessimistic based on price movements.
The document discusses several theoretical approaches to analyzing financial markets, including the efficient market hypothesis (EMH) and the adaptive market hypothesis (AMH). The EMH suggests that markets are efficient and prices fully reflect all available information, while the AMH combines EMH with behavioral economics by proposing that people are rational but sometimes irrational during periods of volatility, and they adapt and learn from their mistakes over time. The document also examines research on noise trading, informed vs. uninformed traders, and empirical evidence that both past prices and nonpublic information can be used to generate profits.
Trend-following noise traders use technical analysis of stock price charts to inform their trading decisions in a systematic way. This can lead to self-fulfilling trends as many noise traders react to the same patterns. Models attempt to explain bubble and crash behaviors that seem driven by herd instincts rather than fundamentals. The Abreu-Brunnermeier model allows bubbles to form but not certainty that arbitrage will burst them. Shiller's model notes stock prices anticipate dividends more than fundamentals would suggest, implying an impact from investor psychology contrary to prevailing views.
This document discusses the concepts of fungibility, the efficient market hypothesis, and noise traders. It explains that under the EMH, two identical items should have the same price. However, behavioral economists argue that giving items different names could lead to different prices if the names influence perceptions. It then discusses noise traders, who trade based on non-fundamental factors and influence prices away from efficiency. For noise traders to significantly impact markets, their behavior must be systematic and they must economically survive over time, posing a challenge to market efficiency.
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3. Learning Objective Statements
▪ Explain the difference between cognitive errors and
emotional biases
▪ Recognize the main characteristics between cognitive
errors and information processing errors
▪ Identify the implications of each cognitive or emotional bias
listed in this chapter
3
4. Cognitive Biases
4
▪ Cognitive biases and their implications for financial decision making.
Cognitive biases are classified into two categories.
▪ The first category contains ―belief perseverance biases.
▪ Belief perseverance in the context of behavioral biases is the tendency
to cling to one’s previously held or recently established beliefs
irrationally or illogically.
▪ Investors continue to hold and justify the belief because of their bias
toward belief in themselves or their own ideals or abilities.
▪ The second category of cognitive error has to do with how people
process information either illogically or irrationally in financial decision
making.
6. Conservatism Bias
6
▪ Conservatism bias is a belief perseverance bias in which people maintain their
prior views or forecasts by inadequately incorporating new information that
arises.
▪ People often fail to modify their beliefs and actions to the extent rationally
justified by the new information.
▪ FMPs may under react to or fail to act on new information and continue to
maintain beliefs close to those based on previous estimates and information.
▪ As a result of conservatism bias, FMPs may do the following:
▪ Maintain or be slow to update a view or a forecast about an investment, even
when presented with new information.
▪ Decide to maintain a prior belief rather than deal with the mental stress of
updating beliefs given complex data. This behavior relates to an underlying
difficulty in processing new information.
7. Confirmation Bias
7
▪ Confirmation bias is a belief perseverance bias in which people tend to
look for and notice what confirms their beliefs, and to ignore or
undervalue what contradicts their beliefs.
▪ All FMPs(financial market Participants)— whether individual investors,
analysts, investment advisors, or fund managers— may, after making
an investment decision, tend to notice and consider information in a
manner that supports their beliefs.
▪ They may notice and consider only confirmatory information and ignore
or modify contradictory information.
▪ Client may insist on continuing to hold the investment, even when the
advisor recommends otherwise, because the clients follow-up research
seeks only information that confirms his belief that the investment is
still a good value.
8. Confirmation Bias
8
▪ confirmation bias is exhibited repeatedly. As a result of confirmation
bias, FMPs may do the following:
▪ Generally consider only positive information about an existing or
proposed investment and ignore or discount negative information
about the investment.
▪ Under diversify portfolios, leading to excessive exposure to risk. FMPs
may become convinced of the value of a single company and its stock.
▪ They ignore negative news about the company and its stock, and they
gather and process only information confirming that the company is a
good investment.
▪ They build a large position and eventually own a poorly diversified
portfolio.
9. Representativeness Bias
9
▪ People tend to classify new information based on past experiences
and classifications. They believe their classifications are appropriate and
place undue weight on them.
▪ This bias occurs because people attempting to derive meaning from
their experiences tend to classify objects and thoughts into
personalized categories.
▪ They rely on a best-fit approximation to determine which category
should provide a frame of reference from which to understand the new
information.
▪ FMPs often overweight new information and small samples because
they view the information or sample as representative of the population
as a whole.
10. Representativeness Bias
10
▪ FMPs may do the following:
▪ Adopt a view or a forecast based almost exclusively on new
information or a small sample. For example, when evaluating
investment managers, FMPs may place undue emphasis on high
returns during a one-, two-, or three-year period, ignoring the base
probability of such a return occurring.
▪ Update beliefs using simple classifications rather than deal with the
mental stress of updating beliefs given complex data. This issue
relates to an underlying difficulty (cognitive cost) in properly processing
new information.
11. Illusion of Control Bias
11
▪ Illusion of control bias is a bias in which people tend to believe that they
can control or influence outcomes when, in fact, they cannot.
▪ Expectancy of a personal success probability inappropriately higher than
the objective probability would warrant.
▪ For example, Langer observed that people permitted to select their own
numbers in a hypothetical lottery game were willing to pay a higher price per
ticket than subjects gambling on randomly assigned numbers.
▪ FMPs may do the following:
▪ Trade more than is prudent. Researchers have found that traders, especially
online traders, believe that they have control over the outcomes of their
investments.
▪ Lead investors to inadequately diversify portfolios. Researchers have
found that some investors prefer to invest in companies that they may feel
they have some control over, like the companies they work for, leading them
to hold concentrated positions.
12. Hindsight Bias
12
▪ Hindsight bias occurs when people see past events as having been
predictable and reasonable to expect. People tend to remember their
own predictions of the future as more accurate than they actually were
because they are biased by the knowledge of what has actually
happened.
▪ FMPs may do the following:
▪ Overestimate the degree to which they predicted an investment
outcome, thus giving them a false sense of confidence. The hindsight
bias may cause FMPs to take on excessive risk, leading to future
investment mistakes.
▪ Cause FMPs to unfairly assess money manager or security
performance. Based on their ability to look back at what has taken place
in securities markets, performance is compared against what has
happened as opposed to what is expected.
13. Cognitive Dissonance Bias
13
▪ When newly acquired information conflicts with preexisting
understandings, people often experience mental discomfort—a
psychological phenomenon known as cognitive dissonance.
▪ Cognitions, in psychology, represent attitudes, emotions, beliefs, or
values; and cognitive dissonance is a state of imbalance that occurs
when contradictory cognitions intersect.
▪ Cognitive dissonance encompasses the responses that arise when
people struggle to harmonize cognitions and thereby relieve their
mental discomfort.
14. Cognitive Dissonance Bias
14
▪ FMPs may do the following:
Cognitive dissonance can cause investors to hold losing securities
positions that they otherwise would sell because they want to avoid the
mental pain associated with admitting that they made a bad decision.
▪ Cognitive dissonance can cause investors to continue to invest in a
security that they already own after it has gone down (average down) to
confirm an earlier decision to invest in that security without judging the
new investment with objectivity and rationality.
▪ A common phrase for this concept is throwing good money after bad.
15. Cognitive Dissonance Bias
15
▪ Cognitive dissonance can cause investors to get caught up in herds of
behavior; that is, people avoid information that counters an earlier
decision (cognitive dissonance).
▪ Cognitive dissonance can cause investors to believe its different this
time.
▪ People who purchased high-flying, hugely overvalued growth stocks in
the late 1990s ignored evidence that there were no excess returns
from purchasing the most expensive stocks available.
▪ In fact, many of the most high-flying companies are now far below their
peaks in price.
16. Information Processing Biases
16
Anchoring and
Adjustment Bias
Mental
Accounting Bias
Framing Bias Availability Bias
Self-Attribution Outcome Bias Outcome Bias
Emotional
Biases
Loss-Aversion
Bias
Overconfidence
Bias
Self-Control
Bias
Status Quo Bias
Endowment
Bias
Regret-Aversion
Bias
Affinity Bias Status Quo Bias
17. Anchoring and Adjustment Bias
17
▪ Anchoring and adjustment bias is an information processing bias in
which the use of psychological heuristics influences the way people
estimate probabilities.
▪ Mental Accounting Bias : Mental accounting bias is an information
processing bias in which people treat one sum of money differently
from another equal-sized sum based on which mental account the
money is assigned to.
▪ Framing Bias : Framing bias is an information processing bias in which
a person answers a question differently based on the way in which it is
asked (framed).
▪ The frame that a decision maker adopts is controlled partly by the
formulation of the problem and partly by the norms, habits, and
personal characteristics of the decision maker.
18. Availability Bias
18
▪ Availability Bias : Availability bias is an information processing bias in which
people take a heuristic (also known as a rule of thumb or a mental shortcut)
approach to estimating the probability of an outcome based on how easily the
outcome comes to mind.
▪ Self-Attribution : Bias Self-attribution bias (or self-serving attribution bias) refers
to the tendency of individuals to ascribe their successes to innate aspects,
such as talent or foresight, while more often blaming failures on outside
influences, such as bad luck.
▪ Outcome Bias : Outcome bias refers to the tendency of individuals to decide to do
something— such as make an investment in a mutual fund—based on the
outcome of past events (such as returns of the past five years) rather than by
observing the process by which the outcome came about (the investment
process used by the mutual fund manager over the past five years).
▪ An investor might think: ―This manager had a fantastic five years, I am going
to invest with her, rather than understanding how such great returns were
generated
19. Recency Bias
19
▪ Recency Bias : Recency bias is a cognitive predisposition that causes people to
more prominently recall and emphasize recent events and observations than
those that occurred in the near or distant past.
▪ Emotional Biases : Emotional biases can cause investors to make suboptimal
decisions. Because emotions are rarely identified and recorded in the decision
making process—they have to do with how people feel rather than what and
how they think—fewer emotional biases have been identified.
▪ The seven emotional biases discussed are loss aversion, overconfidence, self-
control, status quo, endowment, regret aversion, and affinity.
▪ Loss-Aversion Bias: loss-aversion occurs when people tend to strongly prefer
avoiding losses as opposed to achieving gains. A number of studies suggest
that, psychologically, losses are significantly more powerful than gains.
20. Emotional Biases
20
▪ Self-Control Bias : Self-control bias is a bias in which people fail to act in
pursuit of their long-term, overarching goals because of a lack of self-
discipline. There is an inherent conflict between short-term satisfaction and
achievement of some long-term goals.
▪ Status Quo Bias : Status quo bias, coined by Samuelson and Zeck hauser, is an
emotional bias in which people do nothing (maintain the status quo) instead
of making a change. People are generally more emotionally comfortable
keeping things the same than they are with change, and thus do not necessarily
look for opportunities where change is beneficial.
▪ Endowment Bias : Endowment bias is an emotional bias in which people value
an asset more when they hold rights to it than when they do not. Endowment
bias is inconsistent with standard economic theory, because the price a person
is willing to pay for a good should equal the price at which that person would be
willing to sell the same good.
21. Emotional Biases
21
▪ Affinity Bias: Affinity bias refers to an individuals tendency to make
irrationally uneconomical consumer choices or investment decisions based on
how they believe a certain product or service will reflect their values.
▪ This idea focuses on the expressive benefits of a product rather than on what
the product or service actually does for someone (the utilitarian benefits).
▪ Overconfidence Bias: Overconfidence bias is a bias in which people
demonstrate unwarranted faith in their own intuitive reasoning, judgments,
and/or cognitive abilities. This overconfidence may be the result of
overestimating knowledge levels, abilities, and access to information.
22. Points to be Remember
Belief Perseverance Biases
CONSERVATISM
People often fail to modify
their beliefs and actions to
the extent rationally
justified by the new
information
CONFIRMATION
People tend to look for and
notice what confirms their
beliefs, and to ignore or
undervalue what
contradicts their beliefs.
23. Points to be Remember
Belief Perseverance Biases
REPRESENTATIVENESS
- Classify new information
based on past experiences
and classifications.
- People attempting to
derive meaning from their
experiences
- often overweight new
information and small
samples
ILLUSION OF CONTROL
- People tend to believe that
they can control or influence
outcomes
- Lead investors to
inadequately diversify
portfolios.
24. Points to be Remember
Belief Perseverance Biases
HINDSIGHT
- People tend to
remember their own
predictions of the future
as more accurate
- Overestimate the
degree to which they
predicted an investment
outcome, thus giving
them a false sense of
confidence.
COGNITIVE DISSONANCE
- People often experience
mental discomfort - a
psychological phenomenon
known as cognitive
dissonance.
- This concept is throwing
good money after bad.
- Cognitive dissonance can
cause investors to believe
its different this time.
25. Points to be Remember
Anchoring and
Adjustment Bias
Mental
Accounting Bias
Framing Bias Availability Bias
Self-Attribution Outcome Bias
Emotional
Biases
Loss-Aversion
Bias
Overconfidence
Bias
Self-Control
Bias
Status Quo Bias
Endowment
Bias
Regret-Aversion
Bias
Affinity Bias Status Quo Bias
26. Points to be Remember
Variance & Co Variance
Variance refers to the spread of a data set. It’s a
measurement used to identify how far each number in the
data set is from the mean.
A large variance means that the numbers in a set are far
from the mean and each other.
A small variance means that the numbers are closer
together in value.
Covariance is a measure of the relationship between
two random variables. The metric evaluates how much – to
what extent – the variables change together.
Covariance, we can only gauge the direction of the
relationship (whether the variables tend to move in tandem
or show an inverse relationship).
Positive covariance: Indicates that two variable tend to
move in the same direction.
Negative covariance: Reveals that two variables tend to
move in inverse directions.