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Modelling and forecasting level shifts in absolute returns

✍ Scribed by Philip Hans Franses; Marco Van Der Leij; Richard Paap

Publisher
John Wiley and Sons
Year
2002
Tongue
English
Weight
330 KB
Volume
17
Category
Article
ISSN
0883-7252

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✦ Synopsis

Abstract

Due to high and low volatility periods, time series of absolute returns experience temporary level shifts which differ in length and size. In this paper we modify the basic Censored Latent Effects Autoregressive [CLEAR] model, such that it can describe and forecast the location and size of such level shifts. For our particular application, we assume that technical trading variables may have explanatory value for future level shifts, where these effects may differ across upward‐ or downward‐tending markets. A natural competitor of the resultant switching regime CLEAR [SR‐CLEAR] model is a long‐memory model, which is known to pick up neglected level shifts. Hence, when we apply the SR‐CLEAR model to nine stock markets and document its good fit and forecasting ability, we compare it with a long‐memory model. Copyright © 2002 John Wiley & Sons, Ltd.

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