Early Warning System in ASEAN Countries Using Capital Market Index Return: Modified Markov Regime Switching Model

I. Wahyudi, Rizky Luxianto, Niken Iwani, liyu Adhikasari Sulung
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引用次数: 1

Abstract

Asia’s financial crisis in July 1997 affects currency, capital market, and real market throughout Asian countries. Countries in southeast region (ASEAN), including Indonesia, Malaysia, Philippines, Singapore, and Thailand, are some of the countries where the crisis hit the most. In these countries, where financial sectors are far more developed than real sectors and the money market sectors, most of the economic activities are conducted in capital market. Movement in the capital market could be a proxy to describe the overall economic situation and therefore the prediction of it could be an early warning system of economic crises. This paper tries to investigate movement in ASEAN (Indonesia, Malaysia, Philippines, Singapore, and Thailand) capital market to build an early warning system from financial sectors perspective. This paper will be very beneficial for the government to anticipate the forthcoming crisis. The insight of this paper is from Hamilton (1990) model of regime switching process in which he divide the movement of currency into two regimes, describe the switching transition based on Markov process and creates different model for each regimes. Differ from Hamilton, our research focuses on index return instead of currency to model the regime switching. This research aimed to find the probability of crisis in the future by combining the probability of switching and the probability distribution function of each regime. Probability of switching is estimated by categorizing the movement in index return into two regimes (negative return in regime 1 and positive return in regime 2) then measuring the proportion of switching to regime 1 in t given regime 1 in t-1 (P11) and to regime 2 in t given regime 2 in t-1 (P22). The probability distribution function of each regime is modeled using t-student distribution. This paper is able to give signal of the 1997/8 crisis few periods prior the crisis.
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基于资本市场指数回报的东盟国家预警系统:修正的马尔可夫状态转换模型
1997年7月的亚洲金融危机影响了亚洲各国的货币、资本市场和实物市场。印尼、马来西亚、菲律宾、新加坡、泰国等东南亚国家是受危机影响最严重的国家。在这些国家,金融部门远比实体部门和货币市场部门发达,大部分经济活动都是在资本市场进行的。资本市场的运动可以作为描述整体经济形势的代理,因此对资本市场的预测可以作为经济危机的早期预警系统。本文试图从金融部门的角度研究东盟(印尼、马来西亚、菲律宾、新加坡和泰国)资本市场的动态,构建预警系统。这篇论文将有助于政府预测即将到来的危机。本文的洞见来源于Hamilton(1990)的制度转换过程模型,该模型将货币的运动分为两种制度,基于马尔可夫过程描述货币的转换过渡,并为每种制度创建不同的模型。与汉密尔顿不同的是,我们的研究重点是指数回报而不是货币来模拟制度转换。本研究旨在结合各制度的切换概率和概率分布函数,找出未来发生危机的概率。切换的概率是通过将指数回报的运动分为两个制度(制度1的负回报和制度2的正回报)来估计的,然后测量在t-1中给定制度1在t中切换到制度1的比例(P11),以及在t-1中给定制度2在t中切换到制度2的比例(P22)。每个区域的概率分布函数使用t-student分布建模。本文能够在危机发生前几个时期给出1997/8年危机的信号。
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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