首页    期刊浏览 2025年02月22日 星期六
登录注册

文章基本信息

  • 标题:Forward looking up-/down correlations
  • 本地全文:下载
  • 作者:Diana Lestari ; Tiffany Claudya ; Rianita Pramitasari
  • 期刊名称:Quantitative Finance and Economics
  • 电子版ISSN:2573-0134
  • 出版年度:2021
  • 卷号:5
  • 期号:3
  • 页码:471-495
  • DOI:10.3934/QFE.2021021
  • 语种:English
  • 出版社:AIMS Press
  • 摘要:Equity returns are typically higher correlated during market downturns than during bullish times. This paper develops a novel approach how investor expectations for such correlation asymmetries can be quantified from forward-looking data. Based on option implied volatilities, it is found that the correlation asymmetry is significant, rejecting the use of the classic mono-correlation assumption. Further, the spread between expected down and up correlations is time-varying and positively dependent on the current market mood: stock diversification is more difficult when it is needed the most. Thus, the three main advantages of the proposed model are (ⅰ) the distinction between up- and down-correlations, (ⅱ) it actually captures investor expectations as traded in current market prices and (ⅲ) the immediate response to the current market outlook. Practical relevance of this paper is highlighted by the computation of expected up-/down CAPM betas.
  • 关键词:implied correlation;Dual-Beta;implied volatility;forward-looking risk;asymmetric dependence
国家哲学社会科学文献中心版权所有