Implied Volatility and Stock Market Speculation

delete Pub Date : 2017-09-21 DOI:10.2139/ssrn.3040470
Ramesh Thimmaraya, Venkateshwarlu Masuna
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Abstract

The stability of an economy is directly linked to the stability of the capital markets in which it operates and vice versa. The capital market stability is in turn linked to the asset price dynamics; most of these asset prices are modelled based on expected rate of return. The expected rate of return and direction of markets is determined from the implied market volatility (VIX index). The implied volatility is a forward looking variable which tells about the realised market volatility based of market participant’s expectations. Most of the times this implied volatility is over estimated compared to the realised volatility due to the speculative behaviour of the market participants. This speculative behaviour causes virtual dynamics in the implied variables which in turn caused virtual dynamics in the individual asset prices. The virtual dynamics in the asset prices causes the divergence in the realised or fundamental value of the market; which can be attributed to the irrational behavioural of the financial market participants. The present paper aims at understanding the source and level of the speculation, and also an attempt has been made to develop a novel quantitative behavioral framework to understand and rectify this speculative behaviour. An empirical analysis has been carried out on the S&P 500 Index and CBOE VIX Index to validate the proposed model. Some interesting results have been obtained from the present study which clearly shows the quantitative behavioural model has the capability to convergence the expected volatility with the realised market volatility, this helps the market participants, regulators and policy makers to make necessary corrections based on the predicted speculation.
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隐含波动率与股票市场投机
一个经济体的稳定与其所处的资本市场的稳定直接相关,反之亦然。资本市场的稳定性反过来又与资产价格动态有关;这些资产价格大多是基于预期回报率建立模型的。预期收益率和市场走向由隐含市场波动率(VIX指数)决定。隐含波动率是一个前瞻性变量,它反映了基于市场参与者预期的已实现的市场波动率。大多数时候,由于市场参与者的投机行为,与实际波动率相比,隐含波动率被高估了。这种投机行为导致隐含变量的虚拟动态,进而导致单个资产价格的虚拟动态。资产价格的虚拟动态导致市场实现价值或基本价值的背离;这可以归因于金融市场参与者的非理性行为。本文旨在了解投机行为的来源和水平,并尝试开发一种新的定量行为框架来理解和纠正这种投机行为。通过对标准普尔500指数和芝加哥期权交易所VIX指数的实证分析,验证了模型的有效性。从本研究中获得了一些有趣的结果,清楚地表明定量行为模型具有将预期波动与实际市场波动收敛的能力,这有助于市场参与者,监管机构和政策制定者根据预测的投机行为进行必要的修正。
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