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The macroeconomic determinants of technology stock price volatility

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  • Perry Sadorsky

Abstract

Stock prices reflect the value of anticipated future profits of companies. Since business cycle conditions impact the future profitability of firms, expectations about the business cycle will affect the current value of firms. This paper uses daily and monthly data from July 1986 to December 2000 to investigate the macroeconomic determinants of US technology stock price conditional volatility. Technology share prices are measured using the Pacific Stock Exchange Technology 100 Index. One of the novel features of this paper is to incorporate a link between technology stock price movements and oil price movements. The empirical results indicate that the conditional volatilities of oil prices, the term premium, and the consumer price index each have a significant impact on the conditional volatility of technology stock prices. Conditional volatilities calculated using daily stock return data display more persistence than conditional volatilities calculated using monthly data. These results further our understanding of the interaction between oil prices and technology share prices and should be of use to investors, hedgers, managers, and policymakers.

Suggested Citation

  • Perry Sadorsky, 2003. "The macroeconomic determinants of technology stock price volatility," Review of Financial Economics, John Wiley & Sons, vol. 12(2), pages 191-205.
  • Handle: RePEc:wly:revfec:v:12:y:2003:i:2:p:191-205
    DOI: 10.1016/S1058-3300(02)00071-X
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    3. Salles, Andre Assis de & Maria Eduarda, Silva & Paulo, Teles, 2022. "Empirical Evidence of Associations and Similarities between the National Equity Markets Indexes and Crude Oil Prices in the International Market," MPRA Paper 113589, University Library of Munich, Germany.
    4. Adekoya, Oluwasegun B. & Oliyide, Johnson A. & Akinseye, Ademola B. & Ogunbowale, Gideon O., 2022. "Oil and multinational technology stocks: Predicting fear with fear at the first and higher order moments," Finance Research Letters, Elsevier, vol. 46(PA).
    5. Kassouri, Yacouba & Altıntaş, Halil, 2022. "The quantile dependence of the stock returns of “clean” and “dirty” firms on oil demand and supply shocks," Journal of Commodity Markets, Elsevier, vol. 28(C).
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