Examining the Heterogeneous Regimes of Stock Market Identified with Two Variants of B-B Algorithms that Differ in Rigidness of Specification

Ho Yew Joe, Mario Arturo Ruiz Estrada, Su-Fei Yap
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Abstract

This paper studies the more prolonged type of heterogeneous regimes in the stock market identified with the non-parametric Bry and Boschan (1971) (BB) algorithm. Specifically, the paper extracts and examines the statistical properties of these durations derived using two variants of B-B algorithms, namely the Lunde and Timmerman (2004) B-B algorithm and the Candelon, Piplack and Straetmans (2008) B-B algorithm. These two algorithms are contrasting extremes in terms of specification rigidness. The results show that the Candelon et al. (2008) B-B algorithm which is less rigid between the two, detects more frequent switching of regimes, has lower standard deviation and yields higher values of cumulative return and loss. The greater sensitivity, however, may not imply superiority as the fundamental aim of stock market regimes dating is to clearly detect the unobserved long-run structure of the market.
用规格刚性不同的两种B-B算法识别股票市场异质机制的检验
本文研究了非参数Bry和Boschan (1971) (BB)算法识别的股票市场中更长的异质状态类型。具体而言,本文提取并检验了使用两种B-B算法(即Lunde和Timmerman (2004) B-B算法和Candelon, Piplack和Straetmans (2008) B-B算法)得出的这些持续时间的统计特性。这两种算法在规范刚性方面是截然相反的极端。结果表明,Candelon et al. (2008) B-B算法在两者之间的刚性较低,检测到更频繁的制度切换,具有更低的标准差,产生更高的累积收益和损失值。然而,更大的敏感性可能并不意味着优势,因为股市制度测年的根本目的是清楚地发现未被观察到的市场长期结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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