15 research outputs found
Emerging Equity Markets: To Invest Or Not To Invest?
Numerous studies suggest that investors diversifying their portfolios with equity of emerging markets benefit from increased returns and/or reduced volatility. Using a 16-year sample from 1988 to 2003, we test this assertion and find that ex-post benefits to U.S. investors in this period are small. Our tests show that the improvement in portfolio performance is not consistent through time, and it is statistically significant only when we restrict our analysis to some regions and/or specific time periods. We find that the lack of significant gains of diversifying into emerging markets is caused by problems with the two main sources of diversification benefits: contrary to expectations, emerging markets have low relative realized returns and their correlation with the U.S. stock market has increased over time
Contrarian Technical Trading Rules: Evidence From Nairobi Stock Index
We apply several popular technical trading rules in the normal way and a contrarian way to daily data of the Nairobi Stock Index from 9/12/2006 to 4/18/2013. The contrarian usage of popular technical trading rules implies that when a technical trading indicator emits buy (sell) signals, we do the opposite and sell (buy) the index. Results from the study support the predictive power of contrarian technical trading rules. We also investigate whether a trader can use the predictive power of contrarian technical rules to beat the profitability of the buy-and-hold strategy considering both transaction costs and risk. Designing four strategies of various contrarian trading rules, we conclude that it is possible to beat the buy-and-hold strategy even considering transaction costs and risk
Profitable Technical Trading Rules For The Austrian Stock Market
Two moving average technical trading rules for the Austrian stock market are tested. Results indicate that moving average rules do indeed have predictive power and could discern recurring-price patterns for profitable trading. Results also support the hypothesis that technical trading rules can outperform the buy-and-hold strategy. Break-even one-way trading costs are estimated to be between .61 and 2.36 %. These break-even costs are larger than recent estimates of actual trading costs, implying profitable trading rules for the Austrian stock market
Are Moving Average Trading Rules Profitable? Evidence From The Mexican Stock Market
This paper tests three moving average technical trading rules for the Mexican Stock Market. Results indicate that moving average rules do indeed have predictive power and can discern recurring-price patterns for profitable trading and support the hypothesis that technical trading rules can outperform the buy-and-hold strategy. Break-even one-way trading costs are estimated to be in the range of 1% to 3% over the period under consideration. These break-even costs, we believe, are large compared to recent estimates of actual trading costs, implying that moving average trading rules have predictive power and can generate consistent profits even after transaction costs are considered
Market Efficiency For S&P 500: 1954-2004
This paper tests three moving average technical trading rules for the S&P 500 stock index. Using daily data from 1954 to 2004, our results indicate that moving average rules did indeed had predictive power and could discern recurring-price patterns for the period up to mid 1980s. However, since mid 1980s, technical trading rules do not work and could not discern recurring-price patterns. Our results are consistent with market inefficiency from 1954 to 1984 and market efficiency from 1984 to present
Market Efficiency and Profitability of Technical Trading Rules: Evidence from Vietnam
Market Efficiency and Profitability of Technical Trading Rules: Evidence from Vietnam Abstract We apply several well-known and popular technical indicators to the daily data for the Vietnam Ho Chi Minh stock index (VSI) from 5/15/2002 to October 31 of 2012. The empirical results strongly support the predictive power of technical trading rules; these strong results also hold for each sub-period analyzed. Further, we ask whether a trader can use the predictive power of technical analysis to beat the profitability of the buy-and-hold strategy considering both transaction costs and risk. Designing four strategies of various trading rules, we conclude that it is possible to beat the buy-and-hold strategy even considering transaction costs and risk
Lost Decade, Market Efficiency and Technical Trading Rules: Evidence from Greece
We apply several well-known technical indicators to the daily data for the Athens Composite Share Price from 1/2/2000 to 12/31/2012. Our findings strongly support the predictive power of technical trading rules; further, we ask whether this predictive power of technical analysis can be exploited to beat the profitability of the buy-and-hold strategy considering both transaction costs and risk. We conclude that it is possible to beat the buy-and-hold strategy even considering transaction costs and risk
EMERGENT CAPITAL MARKETS’ EFFICIENCY: THE CASE OF POLAND
We apply two well-known technical indicators to the Polish Stock index over the period of 9/4/1998 to 4/18/2013. Our findings support the predictive power of technical trading rules for each sub-period and for the entire period. We then ask whether an investor can use the predictive power of technical analysis to beat the profitability of the buy-and-hold strategy considering both transaction costs and risk. We conclude that it is not possible to beat the buy and hold strategy when considering transaction costs and risk. We could say the Polish market is efficient.