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Market Timing Strategy is an active investment strategy, which is based on the signals of indicators, for the investors to make their investment decisions. However, there has always been the question on which variable is a good indicator, that would provide superior returns for the investment. Bond to Equity Yield Ratio (BEYR) is a new indicator widely researched by many academics in the field of finance and extensively applied by practitioners of the financial markets during the last two decades. Efficient Market Hypothesis (EMH) is a theory in finance which states that stock prices are always reflected with the relevant information and beating the market from predicting the trend of future stock prices is not possible. Therefore, if the market is in accordance with EMH, market timing strategy is not useful and passive investment strategy is better than active investment strategy. Although extant literatures have proved BEYR as a good indicator to be used in market timing strategy, the focus of the existing research is on the financial markets in the United States, the United Kingdom, and the Europe; the study on Asian financial markets is very limited. The main objective of the research is mainly motivated by this knowledge gap. This study will use extreme value strategy as an active trading strategy to conduct research on the market timing ability of BEYR in three Asian financial markets: Japan, Malaysia and Singapore. In addition, passive trading strategy will be used to compare with active trading strategy in each country to identify whether the markets comply with weak form of EMH. Deductive approach of quantitative research is conducted and three main hypotheses are developed to achieve the research objective. The empirical findings from our research and the responses to the main hypotheses can be summarized as active trading strategy does perform better than passive trading strategy for all countries and the market timing ability of BEYR is not as good as the traditional indicators: dividend yields and earning yields for all countries. Therefore, the financial markets of all counties under scrutiny do not comply with weak form of EMH. However, it is worthy to take note that the sample period chosen for this research includes the period when the Global Financial Crisis occurred in 2008. Therefore, it is assumed that the impact of the financial crisis is the main reason contributing the difference between the findings from our research and the existing literatures. Moreover, the difference in the nature of financial market can be considered as another underlying factor for the new perspective on BEYR resulting from our empirical results.

This master’s thesis deals with automated trading systems based on chosen trading strategies, their testing and inputs optimization. The work begins with a theoretical basis for subsequent practical part, where is the solution process illustrated. In conclusion, final evaluation of results is performed and recommendations for the future are mentioned.

This thesis deals with trading strategy development on foreign market exchange (FOREX) from a perspective of technical analysis. A hypothesis that price data can be used for stable profitable decision making is analyzed. For that purpose, financial data preparation and derived indicators are described in detail. At first, strategies are randomly constructed. Afterward, they are improved iteratively by means of evolution principles. Genetic programming is used in particular. Special attention is devoted to fitness functon definition, on which the progress of strategies depends. Besides usual criterion - profit, other aspects are taken into account. Transactional costs are included in strategy evaluation. Costs have even been increased in comparison with declared values. Some of the best strategies are tested on data, which has not been used for their development. Obtained results did not support the hypothesis. However, process of a strategy search can be improved.

It is well understood through previous literature that strategies, which buy past winning stocks and sell past losing stocks, can generate significant positive returns. This phenomenon is known as the momentum effect in the stock market. Furthermore, there is a common accounting practice used by portfolio managers called tax loss harvesting.Tax loss harvesting is the practice of selling a security in order to create a benefit for tax purposes. This paper attempts to build upon previous literature by explaining why the momentum effect is different at the beginning of the calendar year than in the middle and assessing whether or not tax loss harvesting may play a role. A trading strategy was created which calculates the returns of winning and losing portfolios intra industry groups, around different months of the year, in attempt to explain fluctuations in the momentum effect. Evidence in support of the hypothesis that tax loss harvesting played a role in impacting momentum strategies did not prove to be statistically significant.

abstract: Although margin trading has significant impacts on the stock market, extant research has mainly focused on its effect on stock price volatility and has rarely examined its influence on the rate of returns. In addition, little systematic research has examined the differential effects of margin trading under different circumstances. This thesis examines the effects of margin trading in bull market, bear market, balanced market and among stocks included in main board, SMEs(small and medium-sized enterprises) board, GEM(growth enterprises board), as well as large-cap and small-cap in China. I further studied the long-, medium-, and short-term influences of margin trading on the volatility of stock price, return rate, and liquidity of the market by both using the SVAR model and conducting panel data analyses. The findings show that: a)Volatility. Margin trading can effectively curtail the medium- and short-term volatility of the share price under any market condition but has no prominent influence on long-term volatility. b)Profitability. Margin trading enhances profitability in the bull market with an apparent leverage effect while having no significant effects on short-term profitability in the balanced market and the bear market. c) Individual shares with different attributes. The influences of margin trading on the large-cap and small-cap shares, shares with high vs. low PE ratio, shares included in the main board and SMEs stocks vary in different types of market. d) Liquidity. The influences of margin trading on the fluidity of market are significantly different in the bull, bear, and balanced markets. Finally, I set up a new trading strategy based on the above conclusions. The result from hypothetical trading demonstrates that the newly-created trading strategy works better than the long-term holding strategy, highlighting the practical implications of this thesis in addition to its implications for research / Dissertation/Thesis / Doctoral Dissertation Business Administration 2018

In this diploma thesis I am going to deal with building the business strategy using methods of technical and orderflow analysis. Then I am going to test this strategy on the market E-mini Nasdaq 100 in simulation mode and then in real market. The goal of this thesis is to determine if the results achieved in simulation mode can be also achieved in real market where the trader operates a number of negative factors such as stress, nervousness, or risking his own money.

The main aim of this diploma thesis is to analyze the options of trading Forex by combining fundamental and technical analysis in connection to intraday trading. One of the goals is to identify pros and cons of these analysis. Based on the gained information, design trading portfolio consisting of different strategies. Each strategy will be programmed as automated trading system and optimized and tested on historical price data.

This study examines the post-earnings announcement drift (PEAD) anomaly on the Swedish stock market. By constructing a corporate governance index based on share structure, board independence and board gender diversity, we test how the quality of firms’ corporate governance affects the drift – a link which is previously unexplored. We find no evidence of PEAD for firms with good corporate governance, while firms with bad corporate governance do experience a drift. Furthermore, a PEAD trading strategy based on bad governance firms yields significantly larger abnormal returns compared to the corresponding trading strategy for good governance firms. Our results are robust to controlling for the risk factors of the Fama-French 3-factor model. The findings support that investors tend to underreact to extreme earnings surprises reported by bad governance firms due to a higher degree of information uncertainty, while the stock price reactions are more complete for good governance firms.

We show that with the implementation presented in this paper, the Random Forest Classification model was able to predict whether or not a stock was going to increase in value during the coming day with an accuracy higher than 50\% for all stocks included in this study. Furthermore, we show that the active trading strategy presented in this paper generated higher returns and higher risk-adjusted returns than the passive investment in the stocks underlying the strategy. Therefore, we conclude \textit{(i)} that a Random Forest Classification model can be used to provide valuable insight on publicly traded stocks, and \textit{(ii)} that it is probably possible to create a profitable trading strategy based on a Random Forest Classifier, but that this requires a more sophisticated implementation than the one presented in this paper.