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Author: Yihong Xia
Publisher:
ISBN:
Category : Asset allocation
Languages : en
Pages : 418
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Book Description
Author: Yihong Xia
Publisher:
ISBN:
Category : Asset allocation
Languages : en
Pages : 418
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 534
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Book Description
Author: Herbert Dawid
Publisher: Springer Nature
ISBN: 3030529703
Category : Business & Economics
Languages : en
Pages : 244
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Book Description
This book analyses decision-making in dynamic economic environments. By applying a wide range of methodological approaches, combining both analytical and computational methods, the contributors examine various aspects of optimal firm behaviour and relevant policy areas. Topics covered include optimal control, dynamic games, economic decision-making, and applications in finance and economics, as well as policy implications in areas such as pollution regulation. This book is dedicated to Christophe Deissenberg, a well-known and distinguished scholar of economic dynamics and computational economics. It appeals to academics in the areas of optimal control, dynamic games and computational economics as well as to decision-makers working in policy domains such as environmental policy.
Author: John Y. Campbell
Publisher: OUP Oxford
ISBN: 019160691X
Category : Business & Economics
Languages : en
Pages : 272
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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: Wayne Ferson
Publisher: MIT Press
ISBN: 0262039370
Category : Business & Economics
Languages : en
Pages : 497
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Book Description
An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.
Author: John H. Cochrane
Publisher: Princeton University Press
ISBN: 1400829135
Category : Business & Economics
Languages : en
Pages : 552
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Book Description
Winner of the prestigious Paul A. Samuelson Award for scholarly writing on lifelong financial security, John Cochrane's Asset Pricing now appears in a revised edition that unifies and brings the science of asset pricing up to date for advanced students and professionals. Cochrane traces the pricing of all assets back to a single idea—price equals expected discounted payoff—that captures the macro-economic risks underlying each security's value. By using a single, stochastic discount factor rather than a separate set of tricks for each asset class, Cochrane builds a unified account of modern asset pricing. He presents applications to stocks, bonds, and options. Each model—consumption based, CAPM, multifactor, term structure, and option pricing—is derived as a different specification of the discounted factor. The discount factor framework also leads to a state-space geometry for mean-variance frontiers and asset pricing models. It puts payoffs in different states of nature on the axes rather than mean and variance of return, leading to a new and conveniently linear geometrical representation of asset pricing ideas. Cochrane approaches empirical work with the Generalized Method of Moments, which studies sample average prices and discounted payoffs to determine whether price does equal expected discounted payoff. He translates between the discount factor, GMM, and state-space language and the beta, mean-variance, and regression language common in empirical work and earlier theory. The book also includes a review of recent empirical work on return predictability, value and other puzzles in the cross section, and equity premium puzzles and their resolution. Written to be a summary for academics and professionals as well as a textbook, this book condenses and advances recent scholarship in financial economics.
Author: Manfred Gilli
Publisher: Academic Press
ISBN: 0128150661
Category : Business & Economics
Languages : en
Pages : 640
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Book Description
Computationally-intensive tools play an increasingly important role in financial decisions. Many financial problems—ranging from asset allocation to risk management and from option pricing to model calibration—can be efficiently handled using modern computational techniques. Numerical Methods and Optimization in Finance presents such computational techniques, with an emphasis on simulation and optimization, particularly so-called heuristics. This book treats quantitative analysis as an essentially computational discipline in which applications are put into software form and tested empirically. This revised edition includes two new chapters, a self-contained tutorial on implementing and using heuristics, and an explanation of software used for testing portfolio-selection models. Postgraduate students, researchers in programs on quantitative and computational finance, and practitioners in banks and other financial companies can benefit from this second edition of Numerical Methods and Optimization in Finance. - Introduces numerical methods to readers with economics backgrounds - Emphasizes core simulation and optimization problems - Includes MATLAB and R code for all applications, with sample code in the text and freely available for download
Author:
Publisher:
ISBN:
Category : Dissertation abstracts
Languages : en
Pages : 776
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Book Description
Author: P. Glabadanidis
Publisher: Springer
ISBN: 1137359838
Category : Business & Economics
Languages : en
Pages : 285
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Book Description
There is a prevailing view among researchers and practitioners that abnormal risk-adjusted returns are an anomaly of financial market inefficiency. This outlook is misleading, since such returns only shed light on the imperfect models commonly used to measure and benchmark investment performance. In particular, using static asset pricing models to judge the performance of a dynamic investment strategy leads to flawed inferences when predicting market indicators. Market Timing and Moving Averages investigates the performance of moving average price indicators as a tactical asset allocation strategy. Glabadanidis provides a rationale for analyzing and testing the market timing and predictive power of any indicator based on past average prices and trading volume. He argues that certain trading strategies are best implemented as a dynamic asset allocation without selling short, in turn achieving the effect of an imperfect at-the-money protective put option. This work contains an empirical analysis of the performance of various versions of trading strategies based on simple moving averages.
Author: Fernando Restoy
Publisher:
ISBN:
Category : Portfolio management
Languages : en
Pages : 48
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Book Description
This paper investigates analytically and numerically intertemporal equilibrium portfolio policies under time dependent returns. The analysis is performed using a new method for obtaining approximate closed form solutions to the optimal portfolio-consumption problem that does not require the imposition of constraints on the conditional moments of consumption and that allows for autoregressive conditional heteroskedasticity in stock returns. The analytical and numerical results show that the elasticity of intertemporal substitution is irrelevant for the determination of the portfolio policy when returns are persistent and follow GARCH processes. In addition, results show that small departures from the i.i.d. assumption produce an important variability in the portfolio holdings that contrasts with the static CAPM constant portfolio policies. However, a conditional version of the static CAPM with the inclusion of a Jensen inequality correction is able to explain the overwhelming majority of the mean and almost all the variability of portfolio.
