Agcapita April 2013 Briefing - Bail-ins and the velocity of moneyVeripath Partners
So-called bank “bail-ins”, whereby losses are imposed on depositors, represent the next stage in the modus operandi of the political class in response to the ongoing solvency crisis in the state and financial sectors. The concept whereby thinly capitalized government agencies purport to guarantee trillions in deposits with billions in capital has always been implausible as an insurance scheme. There is nothing resembling
insurance about it. It is simply another unfunded government guarantee which in an age of insolvent states is being revealed, along with many other such guarantees, as the fiction it always was.
Agcapita April 2013 Briefing - Bail-ins and the velocity of moneyVeripath Partners
So-called bank “bail-ins”, whereby losses are imposed on depositors, represent the next stage in the modus operandi of the political class in response to the ongoing solvency crisis in the state and financial sectors. The concept whereby thinly capitalized government agencies purport to guarantee trillions in deposits with billions in capital has always been implausible as an insurance scheme. There is nothing resembling
insurance about it. It is simply another unfunded government guarantee which in an age of insolvent states is being revealed, along with many other such guarantees, as the fiction it always was.
Using Cross Asset Information To Improve Portfolio Risk Estimationyamanote
There are obvious relationships between the various securities of a given firm that impact our expectations of risk. For example, if fixed income investors expect a corporate bond of a company to default, there must be a related bankruptcy event that would negatively impact shareholders in that firm. In this presentation, Nick will describe how to use data from bond and option markets to improve risk estimation for equity portfolios, and how to use information from the equity markets to improve estimation of credit risk in fixed income securities. The goal of the process is to create holistic risk estimation where all expectations of risk are mutually consistent across the entire capital structure of a firm, and related derivatives.
Manual for calculating adjusted net savingsIntrosust
Lea hasta la página 7 (aunque se le recomienda leer el documento completo).
Actividad:
¿Por qué es el ahorro ajustado neto una mejora respecto a los cálculos estándar de ahorro neto?
CVA Capital Charge under Basel III standardized approachGRATeam
Since the 2007 – 2009, Counterparty Credit Risk (CCR) has become one of the biggest issues and challenges for financial institutions.
As the crisis revealed shortcomings and loopholes in managing CCR, and more specifically CVA risk, new regulations have been issued in the sole intent of capturing this risk and building an extra cushion of capital to absorb losses and consequently to strengthen the resilience of the banking industry.
Basel III framework proposes two ways for measuring CVA Risk: a standardized approach and an advanced approach.
In this paper, the standardized approach will be analyzed and studied. At first, an analysis will be provided to better understand why CCR became so important, what are its characteristics, etc... Then a discussion around the CVA definition from the regulator’s perspective will be presented. Finally, a paragraph will be dedicated to better understand what the standardized formula refers to, what is being computed, and for what purpose.
Our decision to focus on the treatment of counterparty risk in Basel III - standard method only - can be explained by three major observations:
1) A lot of literature already exists, and a certain number of very good specialists refer to the subject. We do not pretend to add other new elements, in all cases not herein;
2) Few banks actually are able to assess their counter party risk under some advanced and internal methodologies. The application of the standard method is highly widespread among financial institutions subject to Basel III;
3) Few people, when they need to assess their risk using the standard approach, really take the time to analyze choices and specific assumptions according to this method.
Our main objective here is to help financial institutions better understand how their regulatory capital levels evolve under this approach and the impact on their day to day business.
Using Cross Asset Information To Improve Portfolio Risk Estimationyamanote
There are obvious relationships between the various securities of a given firm that impact our expectations of risk. For example, if fixed income investors expect a corporate bond of a company to default, there must be a related bankruptcy event that would negatively impact shareholders in that firm. In this presentation, Nick will describe how to use data from bond and option markets to improve risk estimation for equity portfolios, and how to use information from the equity markets to improve estimation of credit risk in fixed income securities. The goal of the process is to create holistic risk estimation where all expectations of risk are mutually consistent across the entire capital structure of a firm, and related derivatives.
Manual for calculating adjusted net savingsIntrosust
Lea hasta la página 7 (aunque se le recomienda leer el documento completo).
Actividad:
¿Por qué es el ahorro ajustado neto una mejora respecto a los cálculos estándar de ahorro neto?
CVA Capital Charge under Basel III standardized approachGRATeam
Since the 2007 – 2009, Counterparty Credit Risk (CCR) has become one of the biggest issues and challenges for financial institutions.
As the crisis revealed shortcomings and loopholes in managing CCR, and more specifically CVA risk, new regulations have been issued in the sole intent of capturing this risk and building an extra cushion of capital to absorb losses and consequently to strengthen the resilience of the banking industry.
Basel III framework proposes two ways for measuring CVA Risk: a standardized approach and an advanced approach.
In this paper, the standardized approach will be analyzed and studied. At first, an analysis will be provided to better understand why CCR became so important, what are its characteristics, etc... Then a discussion around the CVA definition from the regulator’s perspective will be presented. Finally, a paragraph will be dedicated to better understand what the standardized formula refers to, what is being computed, and for what purpose.
Our decision to focus on the treatment of counterparty risk in Basel III - standard method only - can be explained by three major observations:
1) A lot of literature already exists, and a certain number of very good specialists refer to the subject. We do not pretend to add other new elements, in all cases not herein;
2) Few banks actually are able to assess their counter party risk under some advanced and internal methodologies. The application of the standard method is highly widespread among financial institutions subject to Basel III;
3) Few people, when they need to assess their risk using the standard approach, really take the time to analyze choices and specific assumptions according to this method.
Our main objective here is to help financial institutions better understand how their regulatory capital levels evolve under this approach and the impact on their day to day business.
Sustainable economic and monetary union in Europe ADEMU_Project
Starting from a legal-institutional perspective, the lecture sketched out the major challenges for researchers and policymakers alike. It also looked at the areas of economic governance, monetary union and banking union with a view to the sustainability of Europe’s Economic and Monetary Union.
Competitive effects of trade: Theory and measurement ademuADEMU_Project
Trade induces many different types of reallocations across firms and products. These reallocations include selection effects (which products are sold where; which firms survive, and which ones export) as well as competition effects (responses in markups that generate changes in the relative sales of products in a given destination).
Consumption and house prices in the Great Recession: model meets evidenceADEMU_Project
From the ADEMU project series of lectures, Greg Kaplan, Kurt Mitman and Gianluca Violante examine the property boom-bust, and ask whether it could have been cushioned by a debt-forgiveness policy. Taken from the New Developments in Macroeconomics lecture at UCL London, November 2016
Putting the cycle back into business cycle analysisADEMU_Project
From the ADEMU Project: Paul Beaudry, Dana Galizia and Franck Portier's presentation from the New Developments in Macroeconomics lecture held at UCL on 9 November 2016.
A Statistical/Mathematical Approach to Enhanced Loan Modification TargetingCognizant
We demonstrate, with a transition matrix, how real estate prices as well as "trigger events" can affect the likelihood of homeowners re-defaulting in loan modification programs.
Reserving in High Inflation.
General Considerations by Alejandra Nolibos
Specific example by Alejandro Ortega
Presented at CLRS in Atlanta, September 11,2015
Argentina Auto Case Study
International journal of engineering and mathematical modelling vol1 no1_2015_2IJEMM
Default risk has always been a matter of importance for financial managers and scholars. In this paper we apply an intensity-based approach for default estimation with a software simulation of the Cox-Ingersoll-Ross model. We analyze the possibilities and effects of a non-linear dependence between economic and financial state variables and the default density, as specified by the theoretical model. Then we perform a test for verifying how simulation techniques can improve the analysis of such complex relations when closed-form solutions are either not available or hard to come by.
The Dynamic Implications of Sequence Risk on a Distribution Portfolio Journal...Better Financial Education
A practical method for advisers to measure exposure to sequence risk is through evaluation of the current probability of failure rate (which I've later renames as iteration failure rate to reflect measurement of the Monte Carlo simulation rather than the plan itself - two different things). This paper lead to a deeper investigation of failure rates thus leading to two subsequent papers discovering the three-dimensional nature of simulations over various time periods and allocations, as well as application of longevity to the simulation modeling.
Predictive Analytics and Modeling in Life InsuranceExperfy
This course will touch upon predictive analytics and modeling in life insurance – where it is used, the applications of predictive analytics and modeling in business. It also explains how to build a predictive model – data management, the types of predictive models, mortality models and other insurance applications. At the end, we will explain the results, ethics and legal limitations.
Link to course:
https://www.experfy.com/training/courses/predictive-analytics-and-modeling-in-product-pricing-personal-and-commercial-insurance
Predictive Analytics and Modeling in Product Pricing (Personal and Commercial...Experfy
This course will touch upon predictive analytics and modeling in life insurance – where it is used, the applications of predictive analytics and modeling in business. It also explains how to build a predictive model – data management, the types of predictive models, mortality models and other insurance applications. At the end, we will explain the results, ethics and legal limitations.
Link to course:
https://www.experfy.com/training/courses/predictive-analytics-and-modeling-in-product-pricing-personal-and-commercial-insurance
PROBABILISTIC CREDIT SCORING FOR COHORTS OF BORROWERSAndresz26
Este Working Paper relata sobre el nivel del riesgo crediticio, se debe reconocer que el riesgo de un grupo proviene de la diversidad de sus miembros, este libro propone una metodología para la aplicación de la medición del riesgo crediticio, y permite hacer un ranking de la población por su nivel de riesgo. La misma que realiza una distinción en los diferentes rankings de la población por su nivel de riesgo, y considerando en el ranking los riesgos de sus preferencias en sus decisiones realizadas.
http://www.udla.edu.ec/
Everyone must have heard numerous rumours about the payday loan industry and how it tries to trap the borrowers in a cycle of debt. These rumours and myths have created a negative image of payday loans in most people’s minds. There is a need to dispel some of these myths to help people realize that payday loans can prove to be an excellent financial support in emergency situations.
We are busting some of the most popular and most heard myths about payday loans.
Nearly one-third of Americans surveyed by Securian Financial Group say they haven’t thought about what would happen to their debt if they – or their cosigners – were to pass away unexpectedly. Fewer than 13 percent say they have taken steps to protect themselves from the sudden loss of a borrower.
Rubic_Print_FormatCourse CodeClass CodeADM-626ADM-626-O101Analysis Paper120.0CriteriaPercentageUnsatisfactory (0.00%)Less Than Satisfactory (74.00%)Satisfactory (79.00%)Good (87.00%)Excellent (100.00%)CommentsPoints EarnedContent70.0%Summarizes Articles30.0%Fails to provide summary of either article.Summary is significantly lacking relevant information.Provides summary of relevant information of only one article.Summary meets requirements for both articles, but additional information would improve summary.Provides a thorough summary of relevant information in both articles.Examines how taxation and spending impact public policy and vice versa40.0%Fails to examine how taxation and spending impact public policy and vice versa.Examination is significantly lacking and evidence of application of article contents is not clear.Examination is accurate, but is missing some key components of reasoning the impact of taxation and spending on public policy and vice versa. Very little application and reference of article content is evident.Examination of how taxation and spending impact public policy and vice versa meets all requirements, but could be improved with additional elaboration and references to article.Provides a thorough examination of how taxation and spending impact public policy and vice versa. Examination clearly applies and incorporates article content in examination and reasoning.Organization and Effectiveness20.0%Thesis Development and Purpose7.0%Paper lacks any discernible overall purpose or organizing claim.Thesis and/or main claim are insufficiently developed and/or vague; purpose is not clear.Thesis and/or main claim are apparent and appropriate to purpose.Thesis and/or main claim are clear and forecast the development of the paper. It is descriptive and reflective of the arguments and appropriate to the purpose.Thesis and/or main claim are comprehensive. The essence of the paper is contained within the thesis. Thesis statement makes the purpose of the paper clear.Argument Logic and Construction8.0%Statement of purpose is not justified by the conclusion. The conclusion does not support the claim made. Argument is incoherent and uses noncredible sources.Sufficient justification of claims is lacking. Argument lacks consistent unity. There are obvious flaws in the logic. Some sources have questionable credibility.Argument is orderly, but may have a few inconsistencies. The argument presents minimal justification of claims. Argument logically, but not thoroughly, supports the purpose. Sources used are credible. Introduction and conclusion bracket the thesis.Argument shows logical progressions. Techniques of argumentation are evident. There is a smooth progression of claims from introduction to conclusion. Most sources are authoritative.Clear and convincing argument that presents a persuasive claim in a distinctive and compelling manner. All sources are authoritative.Mechanics of Writing (includes spelling, punctuation, grammar,.
Ademu at the European Parliament, 27 March 2018ADEMU_Project
ADEMU scientific co-ordinator Ramon Marimon joined Marco Buti, director general of DG-ECFIN, DG Economic and Financial Affairs, Roberto Gualtieri, MEP and chair of the Committee on Economic and Monetary Affairs at the European Parliament, Maria Kayamanidou, deputy head of DG Research and Innovation at the EC, and Vincenzo Grassi, secretary general of the European University Institute, to discuss ADEMU's proposals for the European Unemployment Insurance System (EUIS) and the European Stability Fund (ESF).
Should robots be taxed? Discussion by Lukas MayrADEMU_Project
Discussion of the paper by Joao Guerreiro (Northwestern University) Sergio Rebelo (Northwestern University, NBER and CEPR), Pedro Teles (Católica-Lisbon School of Business & Economics, Banco de Portugal and CEPR)
2. Elemental Economics - Mineral demand.pdfNeal Brewster
After this second you should be able to: Explain the main determinants of demand for any mineral product, and their relative importance; recognise and explain how demand for any product is likely to change with economic activity; recognise and explain the roles of technology and relative prices in influencing demand; be able to explain the differences between the rates of growth of demand for different products.
BYD SWOT Analysis and In-Depth Insights 2024.pptxmikemetalprod
Indepth analysis of the BYD 2024
BYD (Build Your Dreams) is a Chinese automaker and battery manufacturer that has snowballed over the past two decades to become a significant player in electric vehicles and global clean energy technology.
This SWOT analysis examines BYD's strengths, weaknesses, opportunities, and threats as it competes in the fast-changing automotive and energy storage industries.
Founded in 1995 and headquartered in Shenzhen, BYD started as a battery company before expanding into automobiles in the early 2000s.
Initially manufacturing gasoline-powered vehicles, BYD focused on plug-in hybrid and fully electric vehicles, leveraging its expertise in battery technology.
Today, BYD is the world’s largest electric vehicle manufacturer, delivering over 1.2 million electric cars globally. The company also produces electric buses, trucks, forklifts, and rail transit.
On the energy side, BYD is a major supplier of rechargeable batteries for cell phones, laptops, electric vehicles, and energy storage systems.
BONKMILLON Unleashes Its Bonkers Potential on Solana.pdfcoingabbar
Introducing BONKMILLON - The Most Bonkers Meme Coin Yet
Let's be real for a second – the world of meme coins can feel like a bit of a circus at times. Every other day, there's a new token promising to take you "to the moon" or offering some groundbreaking utility that'll change the game forever. But how many of them actually deliver on that hype?
Lecture slide titled Fraud Risk Mitigation, Webinar Lecture Delivered at the Society for West African Internal Audit Practitioners (SWAIAP) on Wednesday, November 8, 2023.
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 what'sapp this number below. I sold about 3000 pi coins to him and he paid me immediately.
+12349014282
1. Elemental Economics - Introduction to mining.pdfNeal Brewster
After this first you should: Understand the nature of mining; have an awareness of the industry’s boundaries, corporate structure and size; appreciation the complex motivations and objectives of the industries’ various participants; know how mineral reserves are defined and estimated, and how they evolve over time.
how to sell pi coins in South Korea profitably.DOT TECH
Yes. You can sell your pi network coins in South Korea or any other country, by finding a verified pi merchant
What is a verified pi merchant?
Since pi network is not launched yet on any exchange, the only way you can sell pi coins is by selling to a verified pi merchant, and this is because pi network is not launched yet on any exchange and no pre-sale or ico offerings Is done on pi.
Since there is no pre-sale, the only way exchanges can get pi is by buying from miners. So a pi merchant facilitates these transactions by acting as a bridge for both transactions.
How can i find a pi vendor/merchant?
Well for those who haven't traded with a pi merchant or who don't already have one. I will leave the what'sapp number of my personal pi merchant who i trade pi with.
Message: +12349014282 VIA Whatsapp.
#pi #sell #nigeria #pinetwork #picoins #sellpi #Nigerian #tradepi #pinetworkcoins #sellmypi
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 what'sapp contact of my personal pi merchant to trade with
+12349014282
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 what'sapp information for my personal pi vendor.
+12349014282
2. Cruces and Trebesch (2013):
Larger haircuts → post-settlement ∆ spread > 0.
Higher post-settlement ∆ spread is long-lasting.
3. Standard models feature positive relationship between debt and
spread, consistent with the data. ⇒ Ceteris paribus, higher
haircuts should lead to lower spread.
Finding in Cruces and Trebesch suggest
Settlements with higher haircuts occur in times with “bad” and
persistent shocks.
Bondholders take high haircut as a bad signal about future
repayment.
Punishment for larger haircuts?
Bad shock may not be low income. Benjamin and Wright (2013):
“... settlements tend to occur when output has returned to trend”
Benjamin and Wright (2013) find that post-settlement debt >
pre-default debt. Could account for higher post-settlement spread.
4. Story in this paper:
Persistent lenders’ coordination.
Lenders can coordinate on the good equilibrium (with lending) or
the bad equilibrium (with no lending and default).
Settlements in times with bad equilibrium ⇒ higher haircut and
higher post-settlement spread.
Quantitative model generates significant dispersion in haircuts.
5. V(b, y, s) = Max VR
(b, y, s), VD
(b, y, s) .
b = bonds maturing in current period. s ∈ {sL, sH} sunspot variable.
VR
(b, y, s) = Max
b
u(c) + βEy ,s |y,sV(b , y , s )
s.t. c = y − b + q(b , y, s)b
VD
(b, y, s) = u(y − L(y)) + β θEy ,s |y,sV(b , y , s ) + (1 − θ) VD
(b , y , s )
Negotiation in every default period:
b = Argmax
x
VD(x, y, s) − VAut(y)
u (y − L(y))
α
[qD(x, y, s)x]1−α
qD price of a bond in default: may remain in default next period.
6. Understanding link between recovery and post-settlement spread
can be useful to understand pre-default behavior.
What are the implications of the basic model without Cole-Kehoe
crises?
Sunder-Plassmann (2016) find in a standard model with only
income shocks: higher haircut associated with lower spread.
Is it also the case with this parameterization?
CK crises derive from a shock to borrowing opportunities. Could
document link between haircut, spread, and measures of global
risk premium.
7. MODELING CHOICES
Why countries do not exit the default after settling? Model
assumes the borrower exits the default with probability θ.
Why not let government decide when to settle? Model assumes
that borrower and lenders have to negotiate in every default
period.
Could try modeling of Aguiar et al. (2016). Currently sunspot
realization is also associated with future sunspot distributions.
8. MODELING CHOICES
Why countries do not exit the default after settling? Model
assumes that exit the default with probability θ.
Why not let government decide when to settle? Model assumes
that borrower and lenders have to negotiate in every default
period.
Could try model of Aguiar et al. (2016). Currently sunspot
realization is also associated with future sunspot distributions.
9. QUANTITATIVE EXERCISE
Model
Debt / y 59.6
Def. freq. 2.1
Mean spread 12.5
std dev spread 65.2
Difference between spread and default probability: sample
selection?
Standard deviation of the spread is too high.
Rollover risk may be too high: one-period debt. Consumption
volatility?
Long-term debt could also enhance quantitative performance.
10. EXPOSITION
Value added of CK crises?
Need a graph linking distribution of haircuts with distribution of
post-settlement spread.
Illustration of the mechanism that links sunspot realizations to
haircuts. Some assumptions in the 3 period model are
endogenous outcomes.
How do bond price schedules and choices depend on the sunspot
shock?