A Model Free Approach to the Pricing of Downside Risk in Argentinean Stocks

J. P. Dapena, J. A. Serur, Julián R. Siri
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引用次数: 0

Abstract

The return dynamics of Argentina's main stock index, the SP Mer.Val., show a high level of volatility, signaling a higher degree of downside risk. To hedge against that specific risk, investors could buy put options. However, the Argentinean capital markets lacks variety of hedging contracts. The basic availability of put options depends on the possibility of short selling the underlying security, i.e. transfer risk to a third party, something not properly developed in the domestic market. Since data processing power has geometrically increased in the last decades and some mathematic formulas that were helpful for calculation had been surpassed by data gathering and processing that helps to find a better estimate when necessary, in this paper we show the point calculating protection against downside risk in the Argentinean stock market, using real data and programming an algorithm to perform calculations instead of resorting the standard Black-Scholes-Merton formulae, by means of a model free approach to acknowledge the issue.
阿根廷股票下行风险定价的无模型方法
阿根廷主要股指——标准普尔500指数(SP . Mer.Val)的回报动态。,显示出高水平的波动性,表明下行风险更高。为了对冲这种特定风险,投资者可以购买看跌期权。然而,阿根廷资本市场缺乏多样化的对冲合约。看跌期权的基本可用性取决于卖空标的证券的可能性,即将风险转移给第三方,这在国内市场尚未得到适当发展。由于数据处理能力在过去几十年里以几何级数增长,一些有助于计算的数学公式已经被数据收集和处理所超越,这些数据收集和处理有助于在必要时找到更好的估计,在本文中,我们展示了计算阿根廷股市下行风险保护的要点,使用真实数据和编程算法来执行计算,而不是诉诸标准的Black-Scholes-Merton公式。通过无模型的方法来认识问题。
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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