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Keywords:Rate of return 

Decomposing short-term return reversal

The profit to a standard short-term return reversal strategy can be decomposed analytically into four components: 1) across-industry return momentum, 2) within-industry variation in expected returns, 3) under-reaction to within-industry cash flow news, and 4) a residual. Only the residual component, which isolates reaction to recent ?nonfundamental? price changes, is significant and positive in the data. A simple short-term return reversal trading strategy designed to capture the residual component generates a highly significant risk-adjusted return three times the size of the standard ...
Staff Reports , Paper 513

The joint dynamics of liquidity, returns, and volatility across small and large firms

This paper explores liquidity spillovers in market-capitalization-based portfolios of NYSE stocks. Return, volatility, and liquidity dynamics across the small- and large-cap sectors are modeled by way of a vector autoregression model, using data that spans more than 3,000 trading days. We find that volatility and liquidity innovations in one sector are informative in predicting liquidity shifts in the other. Impulse responses indicate the existence of persistent liquidity, return, and volatility spillovers across the small- and large-cap sectors. Lead and lag patterns across small- and ...
Staff Reports , Paper 207

Resurrecting the (C)CAPM: a cross-sectional test when risk premia are time-varying

This paper explores the ability of theoretically based asset pricing models such as the CAPM and the consumption CAPM-referred to jointly as the (C)CAPM - to explain the cross-section of average stock returns. Unlike many previous empirical tests of the (C)CAPM, we specify the pricing kernel as a conditional linear factor model, as would be expected if risk premia vary over time. Central to our approach is the use of a conditioning variable which proxies for fluctuations in the log consumption-aggregate wealth ratio and is likely to be important for summarizing conditional expectations of ...
Staff Reports , Paper 93

Working Paper
Regime shifts in mean-variance efficient frontiers: some international evidence

Regime switching models have been assuming an increasingly central role in financial applications because of their well-known ability to capture the presence of rich non-linear patterns in the joint distribution of asset returns. After reviewing key concepts and technical issues related to specifying, estimating, and using multivariate Markov switching models in financial applications, in this paper we examine how the presence of regimes in means, variances, and covariances of asset returns translates into explicit dynamics of the Markowitz mean-variance frontier. In particular, we show both ...
Working Papers , Paper 2010-040

Working Paper
1/N and long run optimal portfolios: results for mixed asset menus

Recent research [e.g., DeMiguel, Garlappi and Uppal, (2009), Rev. Fin. Studies] has cast doubts on the out-of-sample performance of optimizing portfolio strategies relative to naive, equally weighted ones. However, existing results concern the simple case in which an investor has a one-month horizon and meanvariance preferences. In this paper, we examine whether their result holds for longer investment horizons, when the asset menu includes bonds and real estate beyond stocks and cash, and when the investor is characterized by constant relative risk aversion preferences which are not locally ...
Working Papers , Paper 2010-003

Working Paper
Can VAR models capture regime shifts in asset returns? a long-horizon strategic asset allocation perspective

In the empirical portfolio choice literature it is often invoked that through the choice of predictors that may closely track business cycle conditions and market sentiment, simple Vector Autoregressive (VAR) models could produce optimal strategic portfolio allocations that hedge against the bull and bear dynamics typical of financial markets. However, a distinct literature exists that shows that non-linear econometric frameworks, such as Markov switching, are also natural tools to compute optimal portfolios arising from the existence of good and bad market states. In this paper we examine ...
Working Papers , Paper 2010-002

Working Paper
Does the macroeconomy predict U.K. asset returns in a nonlinear fashion? comprehensive out-of-sample evidence

We perform a comprehensive examination of the recursive, comparative predictive performance of a number of linear and non-linear models for UK stock and bond returns. We estimate Markov switching, threshold autoregressive (TAR), and smooth transition autoregressive (STR) regime switching models, and a range of linear specifications in addition to univariate models in which conditional heteroskedasticity is captured by GARCH type specifications and in which predicted volatilities appear in the conditional mean. The results demonstrate that U.K. asset returns require non-linear dynamics be ...
Working Papers , Paper 2010-039

Journal Article
Has the stock market become too narrow?

The price of equity has soared during the past five years, stoking concerns that stocks' prices might have risen too far, too fast. These concerns became more pressing as the values of equities rose much more rapidly than earnings during 1998 and early 1999, lifting stocks' prices to record highs relative to their earnings. Although many indexes of stocks' prices continued to rise sharply in 1998 and 1999, fewer stocks contributed to this performance. The market became more narrow as the running count of stocks whose prices were rising fell behind that for stocks whose prices were dropping. ; ...
New England Economic Review , Issue Nov , Pages 31-43

Working Paper
Log-periodogram estimation of long memory volatility dependencies with conditionally heavy tailed returns

Many recent papers have used semiparametric methods, especially the log-periodogram regression, to detect and estimate long memory in the volatility of asset returns. In these papers, the volatility is proxied by measures such as squared, log-squared and absolute returns. While the evidence for the existence of long memory is strong using any of these measures, the actual long memory parameter estimates can be sensitive to which measure is used. In Monte-Carlo simulations, I find that the choice of volatility measure makes little difference to the log-periodogram regression estimator if the ...
International Finance Discussion Papers , Paper 685

Working Paper
Research and development, profits and firm value: a structural estimation

Is the return to private R&D as high as believed? This study identifies a flaw in the production function approach to estimating the return to R&D. I provide new estimates based on a structural estimation approach that incorporates uncertainty about the outcome from R&D. The results shed light on the rate of innovation, the impact of an innovation on profits, and the market value of the R&D stock. The parameter estimates imply a mean return to R&D of 3.7-5.5%, much lower than previous values. The analysis also demonstrates the unsuitability of using the return to R&D as a basis for policy ...
Finance and Economics Discussion Series , Paper 2008-52


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