On the Predictability of Stock Prices: A Case for High and Low Prices
42 Pages Posted: 18 Jun 2011 Last revised: 20 May 2013
Date Written: June 16, 2011
Abstract
Contrary to the common wisdom that asset prices are barely possible to forecast, we show that that high and low prices of equity shares are largely predictable. We propose to model them using a simple implementation of a fractional vector autoregressive model with error correction (FVECM). This model captures two fundamental patterns of high and low prices: their cointegrating relationship and the long memory of their difference (i.e. the range), which is a measure of realized volatility. Investment strategies based on FVECM predictions of high/low US equity prices as exit/entry signals deliver a superior performance even on a risk-adjusted basis.
Keywords: high and low prices, predictability of asset prices, range, fractional cointegration, exit/entry trading signals, chart/technical analysis
JEL Classification: G11, G17, C53, C58
Suggested Citation: Suggested Citation
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