The document summarizes key perspectives on risk from social science researchers, standard finance academics, and behavioral finance academics. Social science researchers view risk as subjective and influenced by qualitative factors like dread, control, and familiarity. Standard finance focuses on objective statistical measures of risk. Behavioral finance examines perceived risk based on beliefs, attitudes, and feelings, informed by experiments and surveys. It finds risk has cognitive and emotional dimensions.
Emotions Affect Markets in Predictable Ways: Behavioral Finance and Sentiment...Cristian Bissattini
Financial markets are not purely rational. Emotions play a large part in stock pricing. H2O Sentiment Analysis captures these emotions, the “animal spirits” coined by Keynes, through social media post messages.
We employ a novel way to capture and quantify sentiment based on authors' credibility, namely tracking the accuracy of past recommendations. Our results provide evidence that there is strong and useful information on investor sentiment and likely stock market movements.
Our research (done in collaboration with the Università della Svizzera italiana) has demonstrated that we can use this information in order to make predictions about stock price changes and to implement trading strategies based on sentiment analysis that perform, on average, better than traditional investment strategies like Buy and Hold or Moving Averages.
This paper examines professional investors can apply the principles within and around Behavioural Finance to maximise investment skill and minimise any negative impact of behavioural bias.
Presentation will give you simple tips on how to make right financial decision. Very small but disciplined investment over long time can make fortunes.
Emotions Affect Markets in Predictable Ways: Behavioral Finance and Sentiment...Cristian Bissattini
Financial markets are not purely rational. Emotions play a large part in stock pricing. H2O Sentiment Analysis captures these emotions, the “animal spirits” coined by Keynes, through social media post messages.
We employ a novel way to capture and quantify sentiment based on authors' credibility, namely tracking the accuracy of past recommendations. Our results provide evidence that there is strong and useful information on investor sentiment and likely stock market movements.
Our research (done in collaboration with the Università della Svizzera italiana) has demonstrated that we can use this information in order to make predictions about stock price changes and to implement trading strategies based on sentiment analysis that perform, on average, better than traditional investment strategies like Buy and Hold or Moving Averages.
This paper examines professional investors can apply the principles within and around Behavioural Finance to maximise investment skill and minimise any negative impact of behavioural bias.
Presentation will give you simple tips on how to make right financial decision. Very small but disciplined investment over long time can make fortunes.
Abstract
The idea of an Efficient Market first came from the French mathematician Louis Bachelier in 1900: « The theory of speculation ».
Bachelier argued that there is no useful information in past stock prices that can help predicting future prices and proposed a theory for financial options’ valuation based on Fourier’s law and Brownian’s motions (time series).
Bachelier’s work get popular in the 60s during the computer’s era.
In 1965, Eugene Fama published a dissertation arguing for the random walk hypothesis (Stock market’s prices evolve randomly: prices cannot be predicted using past data).
In 1970, Fama published a review of the theory and empirical evidences
The EMH (Efficient Market Hypothesis): Financial markets are efficient at processing information. Consequently, the prices of securities is a correct representation of all information available at any time.
Weak:
Not possible to earn superior profits (risk adjusted) based on the knowledge of past prices and returns.
Semi-strong:
Not possible to earn superior profits using all information publicly available.
Strong:
Not possible to earn superior profit using all publicly and inside information.
The CAPM describes the relationship between market risks and expected return for a security i (also called cost of equity), E(Re_i):
Re_i = Rf – Bi(Rm – Rf)
With:
Rf = Risk free rate (typically government bond rate)
Rm = Expected return for the whole market
Bi = The volatility risk of the security i compared to the whole market
(Rm – Rf) is consequently the market risk premium
According to the EMH, for a well-diversified portfolio, expected returns can only reflect those of the market as a whole. Consequently, in the CAPM formula, It would involves that for a diversified-enough portfolio: β = 1 so Re = Rm
Investors want to value companies before making investment decisions.
A typical way to do so is to use the Discounted Cash Flow (DCF) method:
See also: Prospect theory, disposition effect, heuristic, framing, mental accounting, Home bias, representativeness, conservatism, availability, greater fool theory, self attribution theory, anchoring, ambiguity aversion, winner's curse, managerial miscalibration and misconception, Equity premium puzzle, market anomalies, excess volatility, Bubbles, herding, limited liabilities, Fama French three 3 factors model.
As an Investment Advisor, you will have to play an important role in enabling your clients to reach their financial goals without the emotions of fear or greed playing havoc. It is essential to understand Behavioural Finance, especially Heuristics and Biases that creep into financial decision making.
Behavioral finance, heuristics and marketing A.W. Berry
Economic and financial heuristics explain how people's money related decision making is influenced by psychology and sociological trends. This is relevant in the marketing profession and to corporate strategists because purchase decisions, stock market investing and other financial decision making is linked to consumer behavior.
Dissertation on behavioral finance and its impact on portfolio investment dec...Rahmatullah Pashtoon
Extreme volatility has plagued financial markets worldwide since the 2008 Global Crisis. Investor sentiment has been one of the key determinants of market movements. In this context, studying the role played by emotions like fear, greed and anticipation, in shaping up investment decisions seemed important. Behavioral Finance is an evolving field that studies how psychological factors affect decision making under uncertainty. This thesis seeks to find the influence of certain identified behavioral finance concepts (or biases), namely, Overconfidence, Representativeness, Herding, Anchoring, Cognitive Dissonance, Regret Aversion, Gamblers’
Fallacy, and Mental Accounting, on the decision making process of individual investors in the Indian Stock Market. Primary data for analysis was gathered by distributing a structured questionnaire among investors who were categorized as (i) young, and (ii) experienced. Results obtained by analyzing a sample of 74 respondents, out of which 12 admitted to having suffered a loss of at least 50% because of the crisis, revealed that the degree of exposure to the biases separated the behavioral pattern of young and experienced investors.
Gamblers’ Fallacy, Anchoring and Representative and Herding bias were seen to affect the young investors significantly more than experienced investors.
Behavioral finance and investment decisionaashima1806
Behavioral Finance is all related to the behavior of the investor at the time of investing in different market conditions.. same is exhibited in our presentation by compiling different questions related to investment for different investors on the basis of different age groups...
A research study on investors behaviour regarding choice of asset allocation ...SubmissionResearchpa
Every rational economic decision maker would prefer to avoid a loss, to have benefits be greater than costs, to reduce risk, and to have investments gain value. Loss aversion refers to the tendency to loathe realizing a loss to the extent that you avoid it even when it is the better choice. How can it be rational for a loss to be the better choice? Say you buy stock for $100 per share. Six months later, the stock price has fallen to $63 per share. You decide not to sell the stock to avoid realizing the loss. If there is another stock with better earnings potential, however, your decision creates an opportunity cost. You pass up the better chance to increase value in the hopes that your original value will be regained. Your opportunity cost likely will be greater than the benefit of holding your stock, but you will do anything to avoid that loss. Loss aversion is an instance where a rational aversion leads you to underestimate a real cost, leading you to choose the lesser alternative. Aim of this paper is to identify the various factors which are affecting to the investment decision and behavioural finance by Gobinda Dhamala, Khushboo Sharma, Kunal Jaiswal, Dimple Patel, Pooja Singh and Ritu Sinha 2020. A research study on investors behaviour regarding choice of asset allocation of teaching staff. International Journal on Integrated Education. 3, 3 (Mar. 2020), 126-135. DOI:https://doi.org/10.31149/ijie.v3i3.298 https://journals.researchparks.org/index.php/IJIE/article/view/298/291 https://journals.researchparks.org/index.php/IJIE/article/view/298
A study of categorization of investors into different risk profles Himanshu Singh
This Research Report will help to know more about financial risk profiles according to which investors can invest their money with appropriate strategy.
Abstract
The idea of an Efficient Market first came from the French mathematician Louis Bachelier in 1900: « The theory of speculation ».
Bachelier argued that there is no useful information in past stock prices that can help predicting future prices and proposed a theory for financial options’ valuation based on Fourier’s law and Brownian’s motions (time series).
Bachelier’s work get popular in the 60s during the computer’s era.
In 1965, Eugene Fama published a dissertation arguing for the random walk hypothesis (Stock market’s prices evolve randomly: prices cannot be predicted using past data).
In 1970, Fama published a review of the theory and empirical evidences
The EMH (Efficient Market Hypothesis): Financial markets are efficient at processing information. Consequently, the prices of securities is a correct representation of all information available at any time.
Weak:
Not possible to earn superior profits (risk adjusted) based on the knowledge of past prices and returns.
Semi-strong:
Not possible to earn superior profits using all information publicly available.
Strong:
Not possible to earn superior profit using all publicly and inside information.
The CAPM describes the relationship between market risks and expected return for a security i (also called cost of equity), E(Re_i):
Re_i = Rf – Bi(Rm – Rf)
With:
Rf = Risk free rate (typically government bond rate)
Rm = Expected return for the whole market
Bi = The volatility risk of the security i compared to the whole market
(Rm – Rf) is consequently the market risk premium
According to the EMH, for a well-diversified portfolio, expected returns can only reflect those of the market as a whole. Consequently, in the CAPM formula, It would involves that for a diversified-enough portfolio: β = 1 so Re = Rm
Investors want to value companies before making investment decisions.
A typical way to do so is to use the Discounted Cash Flow (DCF) method:
See also: Prospect theory, disposition effect, heuristic, framing, mental accounting, Home bias, representativeness, conservatism, availability, greater fool theory, self attribution theory, anchoring, ambiguity aversion, winner's curse, managerial miscalibration and misconception, Equity premium puzzle, market anomalies, excess volatility, Bubbles, herding, limited liabilities, Fama French three 3 factors model.
As an Investment Advisor, you will have to play an important role in enabling your clients to reach their financial goals without the emotions of fear or greed playing havoc. It is essential to understand Behavioural Finance, especially Heuristics and Biases that creep into financial decision making.
Behavioral finance, heuristics and marketing A.W. Berry
Economic and financial heuristics explain how people's money related decision making is influenced by psychology and sociological trends. This is relevant in the marketing profession and to corporate strategists because purchase decisions, stock market investing and other financial decision making is linked to consumer behavior.
Dissertation on behavioral finance and its impact on portfolio investment dec...Rahmatullah Pashtoon
Extreme volatility has plagued financial markets worldwide since the 2008 Global Crisis. Investor sentiment has been one of the key determinants of market movements. In this context, studying the role played by emotions like fear, greed and anticipation, in shaping up investment decisions seemed important. Behavioral Finance is an evolving field that studies how psychological factors affect decision making under uncertainty. This thesis seeks to find the influence of certain identified behavioral finance concepts (or biases), namely, Overconfidence, Representativeness, Herding, Anchoring, Cognitive Dissonance, Regret Aversion, Gamblers’
Fallacy, and Mental Accounting, on the decision making process of individual investors in the Indian Stock Market. Primary data for analysis was gathered by distributing a structured questionnaire among investors who were categorized as (i) young, and (ii) experienced. Results obtained by analyzing a sample of 74 respondents, out of which 12 admitted to having suffered a loss of at least 50% because of the crisis, revealed that the degree of exposure to the biases separated the behavioral pattern of young and experienced investors.
Gamblers’ Fallacy, Anchoring and Representative and Herding bias were seen to affect the young investors significantly more than experienced investors.
Behavioral finance and investment decisionaashima1806
Behavioral Finance is all related to the behavior of the investor at the time of investing in different market conditions.. same is exhibited in our presentation by compiling different questions related to investment for different investors on the basis of different age groups...
A research study on investors behaviour regarding choice of asset allocation ...SubmissionResearchpa
Every rational economic decision maker would prefer to avoid a loss, to have benefits be greater than costs, to reduce risk, and to have investments gain value. Loss aversion refers to the tendency to loathe realizing a loss to the extent that you avoid it even when it is the better choice. How can it be rational for a loss to be the better choice? Say you buy stock for $100 per share. Six months later, the stock price has fallen to $63 per share. You decide not to sell the stock to avoid realizing the loss. If there is another stock with better earnings potential, however, your decision creates an opportunity cost. You pass up the better chance to increase value in the hopes that your original value will be regained. Your opportunity cost likely will be greater than the benefit of holding your stock, but you will do anything to avoid that loss. Loss aversion is an instance where a rational aversion leads you to underestimate a real cost, leading you to choose the lesser alternative. Aim of this paper is to identify the various factors which are affecting to the investment decision and behavioural finance by Gobinda Dhamala, Khushboo Sharma, Kunal Jaiswal, Dimple Patel, Pooja Singh and Ritu Sinha 2020. A research study on investors behaviour regarding choice of asset allocation of teaching staff. International Journal on Integrated Education. 3, 3 (Mar. 2020), 126-135. DOI:https://doi.org/10.31149/ijie.v3i3.298 https://journals.researchparks.org/index.php/IJIE/article/view/298/291 https://journals.researchparks.org/index.php/IJIE/article/view/298
A study of categorization of investors into different risk profles Himanshu Singh
This Research Report will help to know more about financial risk profiles according to which investors can invest their money with appropriate strategy.
Portfolio Management and it's objectives
For downloading this contact- bikashkumar.bk100@gmail.com
Prepared by Students of University of Rajshahi
K.M.Nafiz
Risul Islam Tonu
Saiful Islam
Md Ismail Hossain
Rajib Hossain
Md Mamun Islam
Sadrul amin
Khairul Basar
Md. Faysal Alam
Md. Nazrul Islam
Sadia Afrin
Zannatul Ferdous Labonno
Farhana Akter
Risk management in the investment banking industry involves proactive risk management strategies and other mitigation systems to avoid surprises in the business. Learn more here.
American Bankers Association Risk Management Forum April 29, 2010 Tyler D. ...tnunnally
American Bankers Association Risk Management Forum, April 29, 2010. Best Practices: Managing Judgment Risk. Presented by Tyler D. Nunnally, Founder & CEO, Upside Risk
Measurement, Quantitative vs. Qualitative and Other Cool StuffJody Keyser
InfoSec Measurement and Quantitative vs Qualitative Methods
Recorded Webinar Here:
https://www3.gotomeeting.com/register/604059902
Aliado and Risk Centric Security would like to introduce you to the world of quantitative risk and decision analysis.
Our webinars will provide you with a glimpse of the power and credibility that quantitative methods can bring to the problems that Information Security Professionals face every day
Topics covered include:
What is risk?
Possibility and Probability
What is a measurement and what is it for?
Qualitative vs. Quantitative methods
Static modeling vs. Monte Carlo simulation
Calibration and the power of a calibrated estimate
Modeling Expert Opinion and the RCS BetaPERT calculator
A. Definitions
1. Risk
2. Risk and Opportunity
3. Possibility vs. probability
4. Measurement
5. Precision vs. accuracy
6. Qualitative vs. quantitative methods
what is the future of Pi Network currency.DOT TECH
The future of the Pi cryptocurrency is uncertain, and its success will depend on several factors. Pi is a relatively new cryptocurrency that aims to be user-friendly and accessible to a wide audience. Here are a few key considerations for its future:
Message: @Pi_vendor_247 on telegram if u want to sell PI COINS.
1. Mainnet Launch: As of my last knowledge update in January 2022, Pi was still in the testnet phase. Its success will depend on a successful transition to a mainnet, where actual transactions can take place.
2. User Adoption: Pi's success will be closely tied to user adoption. The more users who join the network and actively participate, the stronger the ecosystem can become.
3. Utility and Use Cases: For a cryptocurrency to thrive, it must offer utility and practical use cases. The Pi team has talked about various applications, including peer-to-peer transactions, smart contracts, and more. The development and implementation of these features will be essential.
4. Regulatory Environment: The regulatory environment for cryptocurrencies is evolving globally. How Pi navigates and complies with regulations in various jurisdictions will significantly impact its future.
5. Technology Development: The Pi network must continue to develop and improve its technology, security, and scalability to compete with established cryptocurrencies.
6. Community Engagement: The Pi community plays a critical role in its future. Engaged users can help build trust and grow the network.
7. Monetization and Sustainability: The Pi team's monetization strategy, such as fees, partnerships, or other revenue sources, will affect its long-term sustainability.
It's essential to approach Pi or any new cryptocurrency with caution and conduct due diligence. Cryptocurrency investments involve risks, and potential rewards can be uncertain. The success and future of Pi will depend on the collective efforts of its team, community, and the broader cryptocurrency market dynamics. It's advisable to stay updated on Pi's development and follow any updates from the official Pi Network website or announcements from the team.
USDA Loans in California: A Comprehensive Overview.pptxmarketing367770
USDA Loans in California: A Comprehensive Overview
If you're dreaming of owning a home in California's rural or suburban areas, a USDA loan might be the perfect solution. The U.S. Department of Agriculture (USDA) offers these loans to help low-to-moderate-income individuals and families achieve homeownership.
Key Features of USDA Loans:
Zero Down Payment: USDA loans require no down payment, making homeownership more accessible.
Competitive Interest Rates: These loans often come with lower interest rates compared to conventional loans.
Flexible Credit Requirements: USDA loans have more lenient credit score requirements, helping those with less-than-perfect credit.
Guaranteed Loan Program: The USDA guarantees a portion of the loan, reducing risk for lenders and expanding borrowing options.
Eligibility Criteria:
Location: The property must be located in a USDA-designated rural or suburban area. Many areas in California qualify.
Income Limits: Applicants must meet income guidelines, which vary by region and household size.
Primary Residence: The home must be used as the borrower's primary residence.
Application Process:
Find a USDA-Approved Lender: Not all lenders offer USDA loans, so it's essential to choose one approved by the USDA.
Pre-Qualification: Determine your eligibility and the amount you can borrow.
Property Search: Look for properties in eligible rural or suburban areas.
Loan Application: Submit your application, including financial and personal information.
Processing and Approval: The lender and USDA will review your application. If approved, you can proceed to closing.
USDA loans are an excellent option for those looking to buy a home in California's rural and suburban areas. With no down payment and flexible requirements, these loans make homeownership more attainable for many families. Explore your eligibility today and take the first step toward owning your dream home.
Even tho Pi network is not listed on any exchange yet.
Buying/Selling or investing in pi network coins is highly possible through the help of vendors. You can buy from vendors[ buy directly from the pi network miners and resell it]. I will leave the telegram contact of my personal vendor.
@Pi_vendor_247
how can i use my minded pi coins I need some funds.DOT TECH
If you are interested in selling your pi coins, i have a verified pi merchant, who buys pi coins and resell them to exchanges looking forward to hold till mainnet launch.
Because the core team has announced that pi network will not be doing any pre-sale. The only way exchanges like huobi, bitmart and hotbit can get pi is by buying from miners.
Now a merchant stands in between these exchanges and the miners. As a link to make transactions smooth. Because right now in the enclosed mainnet you can't sell pi coins your self. You need the help of a merchant,
i will leave the telegram contact of my personal pi merchant below. 👇 I and my friends has traded more than 3000pi coins with him successfully.
@Pi_vendor_247
Introduction to Indian Financial System ()Avanish Goel
The financial system of a country is an important tool for economic development of the country, as it helps in creation of wealth by linking savings with investments.
It facilitates the flow of funds form the households (savers) to business firms (investors) to aid in wealth creation and development of both the parties
The secret way to sell pi coins effortlessly.DOT TECH
Well as we all know pi isn't launched yet. But you can still sell your pi coins effortlessly because some whales in China are interested in holding massive pi coins. And they are willing to pay good money for it. If you are interested in selling I will leave a contact for you. Just telegram this number below. I sold about 3000 pi coins to him and he paid me immediately.
Telegram: @Pi_vendor_247
Turin Startup Ecosystem 2024 - Ricerca sulle Startup e il Sistema dell'Innov...Quotidiano Piemontese
Turin Startup Ecosystem 2024
Una ricerca de il Club degli Investitori, in collaborazione con ToTeM Torino Tech Map e con il supporto della ESCP Business School e di Growth Capital
how to sell pi coins effectively (from 50 - 100k pi)DOT TECH
Anywhere in the world, including Africa, America, and Europe, you can sell Pi Network Coins online and receive cash through online payment options.
Pi has not yet been launched on any exchange because we are currently using the confined Mainnet. The planned launch date for Pi is June 28, 2026.
Reselling to investors who want to hold until the mainnet launch in 2026 is currently the sole way to sell.
Consequently, right now. All you need to do is select the right pi network provider.
Who is a pi merchant?
An individual who buys coins from miners on the pi network and resells them to investors hoping to hang onto them until the mainnet is launched is known as a pi merchant.
debuts.
I'll provide you the Telegram username
@Pi_vendor_247
Currently pi network is not tradable on binance or any other exchange because we are still in the enclosed mainnet.
Right now the only way to sell pi coins is by trading with a verified merchant.
What is a pi merchant?
A pi merchant is someone verified by pi network team and allowed to barter pi coins for goods and services.
Since pi network is not doing any pre-sale The only way exchanges like binance/huobi or crypto whales can get pi is by buying from miners. And a merchant stands in between the exchanges and the miners.
I will leave the telegram contact of my personal pi merchant. I and my friends has traded more than 6000pi coins successfully
Tele-gram
@Pi_vendor_247
where can I find a legit pi merchant onlineDOT TECH
Yes. This is very easy what you need is a recommendation from someone who has successfully traded pi coins before with a merchant.
Who is a pi merchant?
A pi merchant is someone who buys pi network coins and resell them to Investors looking forward to hold thousands of pi coins before the open mainnet.
I will leave the telegram contact of my personal pi merchant to trade with
@Pi_vendor_247
how to swap pi coins to foreign currency withdrawable.DOT TECH
As of my last update, Pi is still in the testing phase and is not tradable on any exchanges.
However, Pi Network has announced plans to launch its Testnet and Mainnet in the future, which may include listing Pi on exchanges.
The current method for selling pi coins involves exchanging them with a pi vendor who purchases pi coins for investment reasons.
If you want to sell your pi coins, reach out to a pi vendor and sell them to anyone looking to sell pi coins from any country around the globe.
Below is the contact information for my personal pi vendor.
Telegram: @Pi_vendor_247