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Asymmetric Volatility and Volatility Spillovers

In: Postmodern Portfolio Theory

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  • James Ming Chen

    (Michigan State University)

Abstract

Why indeed is volatility asymmetrical? Wholly apart from their epochal methodological contributions, providing an answer to this question may be the greatest theoretical advance traceable to time series models. This chapter will explore three distinct accounts of asymmetrical volatility. Moreover, time series modeling can now detect volatility spillovers between markets. Even more remarkably, new methods can identify which markets transmit information and which ones, in effect, receive that information in the form of increased volatility. After noting those developments, this chapter will conclude with a quick survey of findings regarding asymmetrical volatility and volatility spillovers in developed and emerging markets.

Suggested Citation

  • James Ming Chen, 2016. "Asymmetric Volatility and Volatility Spillovers," Quantitative Perspectives on Behavioral Economics and Finance, in: Postmodern Portfolio Theory, chapter 0, pages 173-187, Palgrave Macmillan.
  • Handle: RePEc:pal:qpochp:978-1-137-54464-3_9
    DOI: 10.1057/978-1-137-54464-3_9
    as

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