Aggregate Income Risks And Hedging Mechanisms
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Aggregate Income Risks And Hedging Mechanisms
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Author : Robert J. Shiller
language : en
Publisher:
Release Date : 1993
Aggregate Income Risks And Hedging Mechanisms written by Robert J. Shiller and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Hedging (Finance) categories.
Estimates are made, from time series data on real gross domestic products, of the standard deviations of returns in markets for perpetual claims on countries' incomes. The results indicate that the variability of returns is of a magnitude comparable to that of returns in stock markets. Evidence is shown that there may be only minimal possibility of cross hedging these returns in existing capital markets. Methods of establishing markets for perpetual claims on aggregate incomes are examined. Such markets, by allowing hedging of these aggregate income risks, might make for dramatically more effective international macroeconomic risk sharing than is possible today. Retail institutions are described that might develop around such markets and help the public with their risk management. However, the establishment of such markets would also incur the risk of major financial bubbles and panics.
Agregate Income Risk And Hedging Mechanisms
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Author : Robert J. Shiller
language : es
Publisher:
Release Date : 1993
Agregate Income Risk And Hedging Mechanisms written by Robert J. Shiller and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with categories.
Hedging Instruments And Risk Management
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Author : Patrick Cusatis
language : en
Publisher: McGraw Hill Professional
Release Date : 2005-02-22
Hedging Instruments And Risk Management written by Patrick Cusatis and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-22 with Business & Economics categories.
Books on complex hedging instruments are often more confusing than the instruments themselves. Hedging Instruments & Risk Management brings clarity to the topic, giving money managers the straightforward knowledge they need to employ hedging tools and techniques in four key markets—equity, currency, fixed income, and mortgage. Using real-world data and examples, this high-level book shows practitioners how to develop a common set of mathematical and statistical tools for hedging in various markets and then outlines several hedging strategies with the historical performance of each.
Aggregate Income Risks And Hedging Mechanisms
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Author : Robert J. Shiller
language : en
Publisher:
Release Date : 1993
Aggregate Income Risks And Hedging Mechanisms written by Robert J. Shiller and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Hedging (Finance) categories.
International Convergence Of Capital Measurement And Capital Standards
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Author :
language : en
Publisher: Lulu.com
Release Date : 2004
International Convergence Of Capital Measurement And Capital Standards written by and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Bank capital categories.
Optimization Based Models For Measuring And Hedging Risk In Fixed Income Markets
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Author : Johan Hagenbjörk
language : sv
Publisher: Linköping University Electronic Press
Release Date : 2019-12-09
Optimization Based Models For Measuring And Hedging Risk In Fixed Income Markets written by Johan Hagenbjörk and has been published by Linköping University Electronic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-09 with categories.
The global fixed income market is an enormous financial market whose value by far exceeds that of the public stock markets. The interbank market consists of interest rate derivatives, whose primary purpose is to manage interest rate risk. The credit market primarily consists of the bond market, which links investors to companies, institutions, and governments with borrowing needs. This dissertation takes an optimization perspective upon modeling both these areas of the fixed-income market. Legislators on the national markets require financial actors to value their financial assets in accordance with market prices. Thus, prices of many assets, which are not publicly traded, must be determined mathematically. The financial quantities needed for pricing are not directly observable but must be measured through solving inverse optimization problems. These measurements are based on the available market prices, which are observed with various degrees of measurement noise. For the interbank market, the relevant financial quantities consist of term structures of interest rates, which are curves displaying the market rates for different maturities. For the bond market, credit risk is an additional factor that can be modeled through default intensity curves and term structures of recovery rates in case of default. By formulating suitable optimization models, the different underlying financial quantities can be measured in accordance with observable market prices, while conditions for economic realism are imposed. Measuring and managing risk is closely connected to the measurement of the underlying financial quantities. Through a data-driven method, we can show that six systematic risk factors can be used to explain almost all variance in the interest rate curves. By modeling the dynamics of these six risk factors, possible outcomes can be simulated in the form of term structure scenarios. For short-term simulation horizons, this results in a representation of the portfolio value distribution that is consistent with the realized outcomes from historically observed term structures. This enables more accurate measurements of interest rate risk, where our proposed method exhibits both lower risk and lower pricing errors compared to traditional models. We propose a method for decomposing changes in portfolio values for an arbitrary portfolio into the risk factors that affect the value of each instrument. By demonstrating the method for the six systematic risk factors identified for the interbank market, we show that almost all changes in portfolio value and portfolio variance can be attributed to these risk factors. Additional risk factors and approximation errors are gathered into two terms, which can be studied to ensure the quality of the performance attribution, and possibly improve it. To eliminate undesired risk within trading books, banks use hedging. Traditional methods do not take transaction costs into account. We, therefore, propose a method for managing the risks in the interbank market through a stochastic optimization model that considers transaction costs. This method is based on a scenario approximation of the optimization problem where the six systematic risk factors are simulated, and the portfolio variance is weighted against the transaction costs. This results in a method that is preferred over the traditional methods for all risk-averse investors. For the credit market, we use data from the bond market in combination with the interbank market to make accurate measurements of the financial quantities. We address the notoriously difficult problem of separating default risk from recovery risk. In addition to the previous identified six systematic risk factors for risk-free interests, we identify four risk factors that explain almost all variance in default intensities, while a single risk factor seems sufficient to model the recovery risk. Overall, this is a higher number of risk factors than is usually found in the literature. Through a simple model, we can measure the variance in bond prices in terms of these systematic risk factors, and through performance attribution, we relate these values to the empirically realized variances from the quoted bond prices. De globala ränte- och kreditmarknaderna är enorma finansiella marknader vars sammanlagda värden vida överstiger de publika aktiemarknadernas. Räntemarknaden består av räntederivat vars främsta användningsområde är hantering av ränterisker. Kreditmarknaden utgörs i första hand av obligationsmarknaden som syftar till att förmedla pengar från investerare till företag, institutioner och stater med upplåningsbehov. Denna avhandling fokuserar på att utifrån ett optimeringsperspektiv modellera både ränte- och obligationsmarknaden. Lagstiftarna på de nationella marknaderna kräver att de finansiella aktörerna värderar sina finansiella tillgångar i enlighet med marknadspriser. Därmed måste priserna på många instrument, som inte handlas publikt, beräknas matematiskt. De finansiella storheter som krävs för denna prissättning är inte direkt observerbara, utan måste mätas genom att lösa inversa optimeringsproblem. Dessa mätningar görs utifrån tillgängliga marknadspriser, som observeras med varierande grad av mätbrus. För räntemarknaden utgörs de relevanta finansiella storheterna av räntekurvor som åskådliggör marknadsräntorna för olika löptider. För obligationsmarknaden utgör kreditrisken en ytterligare faktor som modelleras via fallissemangsintensitetskurvor och kurvor kopplade till förväntat återvunnet kapital vid eventuellt fallissemang. Genom att formulera lämpliga optimeringsmodeller kan de olika underliggande finansiella storheterna mätas i enlighet med observerbara marknadspriser samtidigt som ekonomisk realism eftersträvas. Mätning och hantering av risker är nära kopplat till mätningen av de underliggande finansiella storheterna. Genom en datadriven metod kan vi visa att sex systematiska riskfaktorer kan användas för att förklara nästan all varians i räntekurvorna. Genom att modellera dynamiken i dessa sex riskfaktorer kan tänkbara utfall för räntekurvor simuleras. För kortsiktiga simuleringshorisonter resulterar detta i en representation av fördelningen av portföljvärden som väl överensstämmer med de realiserade utfallen från historiskt observerade räntekurvor. Detta möjliggör noggrannare mätningar av ränterisk där vår föreslagna metod uppvisar såväl lägre risk som mindre prissättningsfel jämfört med traditionella modeller. Vi föreslår en metod för att dekomponera portföljutvecklingen för en godtycklig portfölj till de riskfaktorer som påverkar värdet för respektive instrument. Genom att demonstrera metoden för de sex systematiska riskfaktorerna som identifierats för räntemarknaden visar vi att nästan all portföljutveckling och portföljvarians kan härledas till dessa riskfaktorer. Övriga riskfaktorer och approximationsfel samlas i två termer, vilka kan användas för att säkerställa och eventuellt förbättra kvaliteten i prestationshärledningen. För att eliminera oönskad risk i sina tradingböcker använder banker sig av hedging. Traditionella metoder tar ingen hänsyn till transaktionskostnader. Vi föreslår därför en metod för att hantera riskerna på räntemarknaden genom en stokastisk optimeringsmodell som också tar hänsyn till transaktionskostnader. Denna metod bygger på en scenarioapproximation av optimeringsproblemet där de sex systematiska riskfaktorerna simuleras och portföljvariansen vägs mot transaktionskostnaderna. Detta resulterar i en metod som, för alla riskaverta investerare, är att föredra framför de traditionella metoderna. På kreditmarknaden använder vi data från obligationsmarknaden i kombination räntemarknaden för att göra noggranna mätningar av de finansiella storheterna. Vi angriper det erkänt svåra problemet att separera fallissemangsrisk från återvinningsrisk. Förutom de tidigare sex systematiska riskfaktorerna för riskfri ränta, identifierar vi fyra riskfaktorer som förklarar nästan all varians i fallissemangsintensiteter, medan en enda riskfaktor tycks räcka för att modellera återvinningsrisken. Sammanlagt är detta ett större antal riskfaktorer än vad som brukar användas i litteraturen. Via en enkel modell kan vi mäta variansen i obligationspriser i termer av dessa systematiska riskfaktorer och genom prestationshärledningen relatera dessa värden till de empiriskt realiserade varianserna från kvoterade obligationspriser.
Islamic Finance Risk Sharing And Macroeconomic Stability
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Author : Muhamed Zulkhibri
language : en
Publisher: Springer
Release Date : 2019-02-20
Islamic Finance Risk Sharing And Macroeconomic Stability written by Muhamed Zulkhibri and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-20 with Business & Economics categories.
The concept of risk-sharing in financial and social contracts is one of the unique features of Islamic finance. Many theoretical studies generally claim superiority of an Islamic financial system based on pure equity and participatory modes of financing, while empirical studies provide mixed results. Studies and discussions are needed to fully understand how Islamic finance could contribute to the ongoing discussion of financial stability. Against this background, this book addresses various aspects of Islamic finance and the risk-sharing mechanism contributions to the overall macroeconomic and financial stability. Undoubtedly, the findings and recommendation from this book should be of great interest not only to future academic researchers in the field of macroeconomic stability and Islamic finance, but also to policy makers and regulators who are keen on drawing lessons from Islamic finance experiences to prevent similar crisis in the future.
Hedge Funds
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Author : Vikas Agarwal
language : en
Publisher: Now Publishers Inc
Release Date : 2005
Hedge Funds written by Vikas Agarwal and has been published by Now Publishers Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Business & Economics categories.
Hedge Funds summarizes the academic research on hedge funds and commodity trading advisors. The hedge fund industry has grown tremendously over the recent years. According to some industry estimates, hedge funds have increased from $39 million in 1990 to about $972 million in 2004 and the total number of hedge funds has gone up from 610 to 7,436 over the same period. At the same time, hedge fund strategies have changed significantly. In 1990 the macro strategy dominated the industry while in 2004 the equity hedge strategy had the largest share of the market. There has also been a shift in the type of investor in hedge funds. In the early 1990's the typical investor was a high net-worth individual investor, today the typical investor is an institutional investor. Thus, the hedge fund market has not only grown tremendously, but the nature of the market has changed. Despite the enormous growth of this industry, there is limited information available on hedge funds. As a result, there is a need for rigorous research from both the investors' and regulators' point of view. Investors need research to better understand their investment and their risk exposure. This research also helps investors recognize the extent of diversification benefits hedge funds offer in combination with investments in traditional asset classes, such as stocks and bonds. Regulators can use this research to identify situations where regulation may be needed to protect investors' interests and to understand the impact hedge funds trading strategies have on the stability of the financial markets. The first part of Hedge Funds summarizes hedge fund performance, including comparisons of risk-return characteristics of hedge funds with those of mutual funds, factors driving hedge fund returns, and persistence in hedge fund performance. The second part reviews research regarding the unique contractual features and characteristics of hedge funds and their influence on the risk-return tradeoffs. The third part reviews the role of hedge funds in a portfolio including the extent of diversification benefits and limitations of standard mean-variance framework for asset allocation. Finally, the authors summarize the research on the biases in hedge fund databases.
Risk Factors And Contagion In Commodity Markets And Stocks Markets
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Author : Stephane Goutte
language : en
Publisher: World Scientific
Release Date : 2020-04-28
Risk Factors And Contagion In Commodity Markets And Stocks Markets written by Stephane Goutte and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-28 with Business & Economics categories.
The link between commodities prices and the business cycle, including variables such as real GDP, industrial production, unemployment, inflation, and market uncertainty, has often been debated in the macroeconomic literature. To quantify the impact of commodities on the economy, one can distinguish different modeling approaches. First, commodities can be represented as the pinnacle of cross-sectional financial asset prices. Second, price fluctuations due to seasonal variations, dramatic market changes, political and regulatory decisions, or technological shocks may adversely impact producers who use commodities as input. This latter effect creates the so-called 'commodities risk'. Additionally, commodities price fluctuations may spread to other sectors in the economy, via contagion effects. Besides, stronger investor interest in commodities may create closer integration with conventional asset markets; as a result, the financialization process also enhances the correlation between commodity markets and financial markets.Our objective in this book, Risk Factors and Contagion in Commodity Markets and Stocks Markets, lies in answering the following research questions: What are the interactions between commodities and stock market sentiment? Do some of these markets move together overtime? Did the financialization in energy commodities occur after the 2008 Global Financial Crisis? These questions are essential to understand whether commodities are driven only by their fundamentals, or whether there is also a systemic component influenced by the volatility present within the stock markets.
Understanding Interdependence
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Author : Peter B. Kenen
language : en
Publisher: Princeton University Press
Release Date : 2021-06-08
Understanding Interdependence written by Peter B. Kenen and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-08 with Business & Economics categories.
Drawing together new papers by some of today's leading figures in international economics and finance, Understanding Interdependence surveys the current state of knowledge on the international monetary system and, by implication, defines the research horizon for the future. Covering topics including the behavior of exchange rates, the choice of exchange-rate regime, current-account adjustment in classical and Keynesian models, the extent and effects of capital mobility, international debt, the stabilization and reform of the formerly planned economies, European monetary union, and international policy coordination, the book underscores the importance of these subjects and identifies lessons for policymakers. The contributors to the volume are Michael Bruno, Ralph C. Bryant, Richard N. Cooper, Michael P. Dooley, Barry Eichengreen, Stanley Fischer, Charles A. E. Goodhart, Peter Hooper, Peter B. Kenen, Paul R. Krugman, Henri Lorie, Jaime Marquez, Ronald I. McKinnon, Michael Mussa, Maurice Obstfeld, John Odling-Smee, Assaf Razin, Dani Rodrik, Mark P. Taylor, and John Williamson.