Browsing by Subject "Commonality in liquidity"

Now showing 1 - 4 of 4

Open Access
Commonality in ask-side vs. bid-side liquidity
(Elsevier, 2018) Şensoy, Ahmet
We decompose the cost of trading into buy-side and sell-side using the limit order book. By using various position sizes to trade, we look for commonality in liquidity on different sides and also at the different levels of the order book. We find that bid-side liquidity has a higher commonality than ask-side liquidity for small position sizes to trade. On the other hand, ask-side commonality becomes stronger once position size exceeds a certain level. Empirical evidence suggests that this switching pattern may be due to the investors’ over-reaction to a positive and under-reaction to a negative market trend.
Open Access
Commonality in FX liquidity: High-frequency evidence
(Elsevier, 2020-06) Şensoy, Ahmet; Uzun, Sevcan; Lucey, B. M.
We test the existence and reveal the main properties of commonality in liquidity for the foreign exchange (FX) markets at the high-frequency level. Accordingly, commonality in FX liquidity exists even at the high-frequency level and it has been gradually increasing over the last few years. Moreover, commonality increases significantly before (after) ECB (Fed) monetary policy announcements. Finally, commonality in FX liquidity has a significant positive impact on the commonality in FX return series, indicating that an increase in the intraday systematic liquidity risk might trigger a negative aggregate liquidity-return spiral in the FX markets.
Open Access
Essays on foreign exchange
(2022-09) Uzun, Sevcan
This thesis investigates the foreign exchange market dynamics by using high fre-quency data. There is a vast literature on currency markets. However, we aimed to bring a new light on the foreign exchange market dynamics by investigating high frequency data for a set of mostly traded currencies, that includes both developed and emerging market currencies. In the first chapter, we focus on the commonality in liquidity in the foreign exchange market where we are able to contribute to the literature by using a comprehensive data set (14 currencies) with high frequency analysis. Our findings indicate that commonality in liquidity exist for foreign ex-change markets even beyond crisis periods and also monetary policy meetings of Federal Reserve (FOMC) have significant effect on commonality in liquidity. In the second chapter, we study the foreign exchange market for a large data set (14 currencies) where we analyzed the predictability of jumps in the foreign exchange market. We showed that different machine learning methodologies can be used for jump prediction as well as prediction of the direction of jumps in foreign exchange market where Multi Layer Perceptron (MLP), Support Vector Machine (SVM) and Random Forest methodologies have the highest accuracy rates. In our analysis, we are able to predict the occurrence of jumps as well as the direction of jumps in the foreign exchange market using state of art machine learning methodologies for high frequency data even for the Covid Pandemic period where volatility in the foreign exchange market is very high.
Open Access
Firm size, ownership structure, and systematic liquidity risk : the case of an emerging market
(Elsevier B.V., 2017) Şensoy, Ahmet
Previous studies support the hypothesis that institutional ownership leads to an enhanced systematic liquidity risk by increasing the commonality in liquidity. By using a proprietary database of all incoming orders and ownership structure in an emerging stock market, we show that institutional ownership leads to an increase in commonality in liquidity for mid- to-large cap firms; however, only individual ownership can lead to such an increase for small cap firms, revealing a new source of systematic liquidity risk for a specific group of firms. We also reveal that commonality decreases with the increasing number of investors (for both individual and institutional) at any firm size level; suggesting that as the investor base gets larger, views of market participants become more heterogeneous, which provides an alternative way to decrease the systematic liquidity risk.