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Working Paper Series no. 90: Asset Allocation in Transition Economies

Abstract

Designing an investment strategy in transition economies is a difficult task, because stock markets opened through time, time series are short, and there is little guidance how to obtain expected returns and covariance matrices necessary for mean-variance asset allocation. Moments of market returns can be expected to be time varying as structural changes occur in nascent market economies. We develop an ad-hoc optimal asset-allocation strategy with a flavor of Bayesian learning adapted to these various characteristics. Since an extreme event often heralds a new state of the economy, we re-initialize learning when unlikely returns materialize. By considering a Cornell benchmark, we show the usefulness of our strategy for certain types of re-initializations. Our model can also be used in situations when new industries emerge or when companies are subject toimportant restructuring.

Eric Jondeau and Michael Rockinger
October 2002

Classification JEL : F30, G11, C11, C32.

Keywords : Emerging markets, mean-variance allocation, sequential Bayesian learning, structural breaks.

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Working Paper Series no. 90: Asset Allocation in Transition Economies
  • Published on 09/01/2002
  • EN
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Updated on: 06/12/2018 10:59