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Author: Doina Maria Radulescu Publisher: Springer Science & Business Media ISBN: 3540733191 Category : Business & Economics Languages : en Pages : 179
Book Description
The book suggests a novel way how the effects of tax reforms especially in the field of capital income taxation can be measured by means of dynamic computable general equilibrium (CGE) models. Using a model calibrated to the German economy, the author evaluates and quantifies the effects of introducing a Dual Income Tax (DIT) in Germany. This tax reform is a currently hotly debated topic in Germany and has been suggested both by the German Council of Economic Advisors (GCEA) and by Prof. Hans-Werner Sinn. Thus, the book is of great interest not only for the academic but also for the business world and politics.
Author: Doina Maria Radulescu Publisher: Springer Science & Business Media ISBN: 3540733191 Category : Business & Economics Languages : en Pages : 179
Book Description
The book suggests a novel way how the effects of tax reforms especially in the field of capital income taxation can be measured by means of dynamic computable general equilibrium (CGE) models. Using a model calibrated to the German economy, the author evaluates and quantifies the effects of introducing a Dual Income Tax (DIT) in Germany. This tax reform is a currently hotly debated topic in Germany and has been suggested both by the German Council of Economic Advisors (GCEA) and by Prof. Hans-Werner Sinn. Thus, the book is of great interest not only for the academic but also for the business world and politics.
Author: John Y. Campbell Publisher: University of Chicago Press ISBN: 0226092569 Category : Political Science Languages : en Pages : 509
Book Description
Our current social security system operates on a pay-as-you-go basis; benefits are paid almost entirely out of current revenues. As the ratio of retirees to taxpayers increases, concern about the high costs of providing benefits in a pay-as-you-go system has led economists to explore other options. One involves "prefunding," in which a person's withholdings are invested in financial instruments, such as stocks and bonds, the eventual returns from which would fund his or her retirement. The risks such a system would introduce—such as the volatility in the market prices of investment assets—are the focus of this offering from the NBER. Exploring the issues involved in measuring risk and developing models to reflect the risks of various investment-based systems, economists evaluate the magnitude of the risks that both retirees and taxpayers would assume. The insights that emerge show that the risk is actually moderate relative to the improved return, as well as being balanced by the ability of an investment-based system to adapt to differences in individual preferences and conditions.
Author: John Y. Campbell Publisher: OUP Oxford ISBN: 019160691X Category : Business & Economics Languages : en Pages : 272
Book Description
Academic finance has had a remarkable impact on many financial services. Yet long-term investors have received curiously little guidance from academic financial economists. Mean-variance analysis, developed almost fifty years ago, has provided a basic paradigm for portfolio choice. This approach usefully emphasizes the ability of diversification to reduce risk, but it ignores several critically important factors. Most notably, the analysis is static; it assumes that investors care only about risks to wealth one period ahead. However, many investors—-both individuals and institutions such as charitable foundations or universities—-seek to finance a stream of consumption over a long lifetime. In addition, mean-variance analysis treats financial wealth in isolation from income. Long-term investors typically receive a stream of income and use it, along with financial wealth, to support their consumption. At the theoretical level, it is well understood that the solution to a long-term portfolio choice problem can be very different from the solution to a short-term problem. Long-term investors care about intertemporal shocks to investment opportunities and labor income as well as shocks to wealth itself, and they may use financial assets to hedge their intertemporal risks. This should be important in practice because there is a great deal of empirical evidence that investment opportunities—-both interest rates and risk premia on bonds and stocks—-vary through time. Yet this insight has had little influence on investment practice because it is hard to solve for optimal portfolios in intertemporal models. This book seeks to develop the intertemporal approach into an empirical paradigm that can compete with the standard mean-variance analysis. The book shows that long-term inflation-indexed bonds are the riskless asset for long-term investors, it explains the conditions under which stocks are safer assets for long-term than for short-term investors, and it shows how labor income influences portfolio choice. These results shed new light on the rules of thumb used by financial planners. The book explains recent advances in both analytical and numerical methods, and shows how they can be used to understand the portfolio choice problems of long-term investors.
Author: Johan Hagenbjörk Publisher: Linköping University Electronic Press ISBN: 917929927X Category : Languages : sv Pages : 156
Book Description
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.
Author: Hans Fehr Publisher: Oxford University Press ISBN: 0198804393 Category : Econometrics Languages : en Pages : 586
Book Description
Introduction to Computational Economics Using Fortran is the essential guide to conducting economic research on a computer. Aimed at students of all levels of education as well as advanced economic researchers, it facilitates the first steps into writing programs using Fortran. Introduction to Computational Economics Using Fortran assumes no prior experience as it introduces the reader to this programming language. It shows the reader how to apply the most important numerical methods conducted by computational economists using the toolbox that accompanies this text. It offers various examples from economics and finance organized in self-contained chapters that speak to a diverse range of levels and academic backgrounds. Each topic is supported by an explanation of the theoretical background, a demonstration of how to implement the problem on the computer, and a discussion of simulation results. Readers can work through various exercises that promote practical experience and deepen their economic and technical insights. This textbook is accompanied by a website from which readers can download all program codes as well as a numerical toolbox, and receive technical information on how to install Fortran on their computer.
Author: Olivia S. Mitchell Publisher: University of Pennsylvania Press ISBN: 9780812234794 Category : Business & Economics Languages : en Pages : 446
Book Description
The United States social security system is the nation's largest social insurance program. As such, it has a far-reaching impact throughout the economy, influencing not only old-age economic security but also many behaviors, including corporate employment policy, retirement patterns, and personal saving. In the past, the system's universal coverage and generous benefits ensured popular support to a degree enjoyed by no other form of "big government" social spending. Yet over two-thirds of all Americans today believe that the social security system will face bankruptcy by the time they retire. The question of social security reform—how to reform the system or whether the system needs reform at all—is the subject of heated debate at all levels of government, in the media, and among workers, pensioners, and employers. Prospects for Social Security Reform informs the debate by exploring why the system is at a crossroads today and what to do about it. Contributors detail the size and nature of the problem, explain views of key "stakeholders" regarding reform options, and report new evidence on how reform might affect the economy. Research findings and public opinion polls are analyzed, as are lessons from other countries experimenting with new ways to deliver old-age benefit promises. No other volume includes as diverse and expert a set of perspectives on reform and privatization as those gathered here from economists, actuaries, employers, investment managers, and representatives of organized labor. Among its chapters is the path-breaking study "Social Security Money's Worth," the 1999 winner of the TIAA-CREF's Paul A. Samuelson Award for Outstanding Scholarly Writing on Lifelong Financial Security.
Author: International Monetary Fund Publisher: International Monetary Fund ISBN: 1451853076 Category : Business & Economics Languages : en Pages : 32
Book Description
The paper documents institutional reforms that have taken place in the government debt markets of many industrial countries since the early 1980s, and investigates the impact of three key changes: (i) the move from relationship financing to market funding; (ii) the introduction of options; and (iii) the introduction of futures. Variance ratio tests on bond data for 14 industrial countries indicate that the move to market funding increased the volatility of bond yields and improved the informational efficiency of the secondary markets. The introduction of options and futures increased the informational efficiency of the underlying market, but did not have a stabilizing effect.
Author: Doina Maria Radulescu
Author: Doina Maria Radulescu
Author: Robert Z. Aliber
Author: John Y. Campbell
Author: John Y. Campbell
Author: Robin Brooks
Author: Johan Hagenbjörk
Author: Hans Fehr
Author: Olivia S. Mitchell
Author: Peter A. Diamond
Author: International Monetary Fund