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  • 标题:Portfolio Selection and Risk Management with Markov Chains
  • 本地全文:下载
  • 作者:Arturo Leccadito ; Sergio Ortobelli Lozza ; Emilio Russo
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2007
  • 卷号:7
  • 期号:6
  • 页码:115-123
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要:This paper proposes markovian models in portfolio theory and risk management. At first, we describe discrete time optimal allocation models. Then, we examine the investor��s optimal choices either when the returns are uniquely determined by their mean and variance or when they are modeled by a Markov chain. We subject these models to back-testing on out-of-sample data, in order to assess their forecasting ability. Finally, we propose some models to compute VaR and CVaR when the returns are modeled by a Markov chain.
  • 关键词:Markov chain; Portfolio theory; VaR and CVaR models
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