EX ANTE PREDICTABILITY OF STOCK RETURNS IN A FRONTIER MARKET

K. Nguyen
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Abstract

This study reports results on the ex ante predictability of stock returns using real-time stock market data in Vietnam, a frontier market, from June 2008 to June 2021. Countries classified as a frontier market are often known for currency manipulation, financial market illiquidity, and political instability. Despite the enormous risk usually posed by these inefficiencies, potential profits are large and achievable for many investors. This study provides evidence on existing a strategy to form out-of-sample long portfolios that generate statistically significant and positive mean monthly returns even in the presence of transaction costs. I also justify the magnitude of these returns by showing that they exceed those of VnIndex and MSCI Vietnam Index. The results reject the hypothesis that the stock prices in Vietnamese market follow random walks, thus oppose the stock market efficiency hypothesis. Evidence found in this study provides a better understanding of informational efficiency in a frontier equity market setting. Specifically, there are several implications on portfolio selection strategies, stock price patterns, and trading behavior bias related to Vietnamese stock market can be drawn from this study.
前沿市场股票收益的事前可预测性
本研究利用越南(前沿市场)2008年6月至2021年6月的实时股票市场数据,报告了股票回报的事前可预测性结果。被归类为前沿市场的国家通常以货币操纵、金融市场流动性不足和政治不稳定而闻名。尽管这些低效率通常会带来巨大的风险,但对许多投资者来说,潜在的利润是巨大的,而且是可以实现的。本研究提供了现有策略的证据,以形成样本外多头投资组合,即使在存在交易成本的情况下,也能产生统计上显著的正平均月回报。我还证明,这些回报率的幅度超过了VnIndex和MSCI越南指数(MSCI Vietnam Index)。研究结果否定了越南市场股票价格遵循随机游走的假设,从而反驳了股票市场效率假说。本研究发现的证据有助于更好地理解前沿股票市场环境下的信息效率。具体而言,从本研究中可以得出与越南股票市场相关的投资组合策略,股票价格模式和交易行为偏差的几个含义。
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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