This study analyzed the performance of trading strategies using past stock prices as a representative anomaly in the capital market, and differentiated from previous research, it tried to demonstrate abnormalities in the capital market by considering ...
This study analyzed the performance of trading strategies using past stock prices as a representative anomaly in the capital market, and differentiated from previous research, it tried to demonstrate abnormalities in the capital market by considering the level of information asymmetry and information environment as market environment variables.
The performance of technological trading strategies using stock prices in the past is contrasting with the momentum strategy of buying losers and selling winners, which is the opposite of the momentum strategy of buying stocks that have risen and selling stocks that have fallen in the past.
If the market is efficient, it is not possible to systematically earn profits exceeding market returns only from past stock price information. Since the mid-80s, studies have shown that past stock price data transaction strategies generate significant excess profits in developed markets such as the U.S.
The lower the competitive edge in the industry, the more opaque the information environment (Ali et al, 2009), and the greater the disagreement among investors over the intrinsic value (Karpoff, 1996), the lower the competitive edge in the industry, the more likely it is to choose a trend-oriented investment strategy. On the other hand, higher competitive levels in the industry will provide transparent market information, reducing disagreement among investors over intrinsic value, and capital market anomalies will make it difficult to expect excess returns from continuing investment or counter-investment strategies.
The empirical analysis period of this study was from January 2000 to December 2019, and the performance of the continuous trading strategy and the counter-investment strategy was analyzed for KOSPI companies using the Huffindal-Hushman Index (HHI), which provides historical price return data and competition in the industry.
First, in general, the lower the level of competition in the industry, the higher the performance of the opposite investment strategy, and the higher the level of competition in the industry, the higher the performance of the continuous investment strategy. In particular, the performance of the continuous investment strategy over the portfolio composition period seems less relevant, but the longer the portfolio composition period, the higher the performance of the opposite investment strategy.
Second, when a portfolio is formed based on past returns, the longer the holding period during the analysis period, the lower the stock return. In addition, the retention period return of low-competitive portfolios in the industry was generally higher among loser portfolios, and the retention period return of high-competitive portfolios was generally higher among winner portfolios. In particular, it was observed that in portfolios with low competition in the industry, the longer the retention period, the greater the retrograde premium.
Considering the level of information asymmetry, the transaction strategy using stock return behavior is judged to be different, and these results will contribute to the establishment of practical investment strategies applicable to the domestic stock market.