This dissertation addresses issues concerning liquidity and its volatility. It consists of two essays. The first essay, "Liquidity, Macro Factors and the U.S. Equity Flows to Emerging Markets", examines the role of liquidity on equity flows from the U.S. to fifteen emerging markets around the world. Since liquidity has many dimensions, an emphasis is placed on utilizing various measures of liquidity. Moreover, both static and dynamic analyses, as well as short and long-horizon regressions, are performed to investigate the research questions. The results suggest that a liquid market attracts flows, after controlling for market size, political openness, exchange rate and other macro factors. Additionally, evidence indicates that the importance of liquidity varies across regions. For instance in the Asian region, the relation between equity flows and volume-related liquidity is weak while that between flows and price impacts of trading is strong. Evidence also supports the relevance of macro factors such as a country's economic freedom. The second essay, "Liquidity Risk Premium Puzzle and Possible Explanations", attempts to resolve the liquidity risk puzzle: a negative relation between returns and liquidity risk, documented by Chordia, Subrahmanyam, and Anshuman (2001b), by employing alternative liquidity measures and by incorporating factors that might potentially affect the relation. The main findings are as follows. The relation between stock returns and volatility of liquidity depends on the measure of liquidity. When liquidity measures are based on trading volume, the results are largely mixed, but when liquidity is measured based on price impact of trading, the relation between returns and volatility of price impacts is positive, as expected. The results are sensitive to time periods examined. Moreover, during extreme down markets, the aversion to liquidity volatility is lower, suggesting behavioral bias might potentially address the puzzle. Empirical findings also suggest that liquidity risk premium tends to be greater for small stocks. Finally, when the VIX index is included as a proxy for investor sentiment, the results indicate that the relation between returns and liquidity risk is significantly positive in four out of five liquidity measures. In sum, the empirical analysis partially but not completely addresses the puzzle.

No description available.

本文以1997年6月至2016年7月臺灣上櫃股票市場做為研究樣本，透過建立一Bivariate Diagonal BEKK GARCH (1,1)-in-mean模型，並以大盤週轉率形成之總合流動性指標與大盤超額報酬率之共變異數做為系統流動性風險之衡量指標，觀察系統流動性風險在臺灣上櫃股票市場是否有被訂價。結論除發現系統流動性風險有確實被訂價外，系統流動性風險溢價還兼具穩定性，且對市場超額報酬率有顯著的影響力。 / By constructing a bivariate diagonal BEKK Garch (1,1)-in-mean model and using the covariance between the excess market return and turnover rate as aggregate systematic liquidity proxy, the study tries to examine whether systematic liquidity risk was priced on Taiwan OTC stock market during the period of June 1997-July 2016. Based on monthly data, the findings suggest that not only the systematic liquidity risk was well priced on Taiwan OTC stock market, but the phenomenon also possessed stability and could have significant impact on stock returns.