Estimating Portfolio and Consumption Choice: A Conditional Euler Equations Approach

نویسنده

  • MICHAEL W. BRANDT
چکیده

This paper develops a nonparametric approach to examine how portfolio and consumption choice depends on variables that forecast time-varying investment opportunities. I estimate single-period and multiperiod portfolio and consumption rules of an investor with constant relative risk aversion and a one-month to 20year horizon. The investor allocates wealth to the NYSE index and a 30-day Treasury bill. I find that the portfolio choice varies significantly with the dividend yield, default premium, term premium, and lagged excess return. Furthermore, the optimal decisions depend on the investor’s horizon and rebalancing frequency. HOW DOES PORTFOLIO AND CONSUMPTION CHOICE depend on variables that forecast time-varying investment opportunities? Prior studies that address this question assume a statistical model relating returns to forecasting variables and solve for an investor’s portfolio and consumption choice using estimates of the implied conditional distribution of returns. As a result, their answers are shaped as much by modeling assumptions as by the data. An incorrect model of how returns relate to forecasting variables can yield inconsistent portfolio and consumption choice estimates and invalid inferences. This paper develops and implements an econometric approach that is robust to such model misspecification. Sample analogues of the conditional Euler equations, the first-order conditions of the investor’s expected utility maximization, yield consistent estimates shaped by the data. I modify the method of moments approach of Hansen and Singleton ~1982!. I fix the parameters of an individual investor’s utility function and estimate the optimal wealth and consumption process, and thereby the investor’s portfolio and consumption rules, from sample analogues of the conditional Euler equations. In contrast, Hansen and Singleton use observations of the aggregate wealth and consumption process to estimate the parameters of the representative investor’s utility function from otherwise identical moment conditions. * The Wharton School, University of Pennsylvania. I thank Yacine Aït-Sahalia, George Constantinides, Lars Peter Hansen, Campell Harvey, and especially John Cochrane for their guidance and encouragement. I also thank Robert Hodrick, René Stulz ~the editor!, two anonymous referees, and seminar participants at the 1998 Western Finance Association conference, Columbia University, Duke University, MIT, Northwestern University, Ohio State University, Stanford University, the University of California at Berkeley and Los Angeles, the University of Chicago, the University of Pennsylvania, the University of Southern California, and Yale University for many helpful comments. I am responsible for any remaining errors. THE JOURNAL OF FINANCE • VOL. LIV, NO. 5 • OCTOBER 1999

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Financial Risk Modeling with Markova Chain

Investors use different approaches to select optimal portfolio. so, Optimal investment choices according to return can be interpreted in different models. The traditional approach to allocate portfolio selection called a mean - variance explains. Another approach is Markov chain. Markov chain is a random process without memory. This means that the conditional probability distribution of the nex...

متن کامل

Estimating the Elasticity of Intertemporal Substitution with Household-Specific Portfolios

Abstract This paper estimates the elasticity of intertemporal substitution (EIS), allowing for household-specific portfolio. Previous studies that estimated the EIS used financial indexes as a proxy for the risky return on a representative household portfolio. According to the latest data from the 2004 Survey of Consumer Finances, however, the median US stockholders who own stocks directly hold...

متن کامل

A Fuzzy Approach to Mean-CDaR Portfolio Optimization

This paper develops a bi-objective portfolio selection problem that maximizes returns and minimizes a risk measure called conditional Drawdown (CDD). The drawdown measures include the maximal Drawdown and Average Drawdown as its limiting case. The CDD family of risk functional is similar to conditional value at Risk (CVaR). In this paper, the fuzzy method has been used to solve the bi-objec...

متن کامل

Optimal Portfolio Selection for Tehran Stock Exchange Using Conditional, Partitioned and Worst-case Value at Risk Measures

This paper presents an optimal portfolio selection approach based on value at risk (VaR), conditional value at risk (CVaR), worst-case value at risk (WVaR) and partitioned value at risk (PVaR) measures as well as calculating these risk measures. Mathematical solution methods for solving these optimization problems are inadequate and very complex for a portfolio with high number of assets. For t...

متن کامل

استراتژی تخصیص بهینه دارایی‌ها در حضور بازار مسکن

In this study, by applyig a combination of Autoregressive Conditional Heteroskedasticity  and stochastic differential equations Models with Markowitz model we estimate the optimal portfolio investment in the housing market are discussed. For this purpose, use of assets, stock prices, housing prices, the price of coins and bonds during the period 1999-2013 with the monthly data. Autoregre...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1999