Browsing by Subject "High-frequency trading"
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Item 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.Item Open Access Financial economics of cryptocurrency markets(Bilkent University, 2021-01) Aslan, AylinThe financial sector is currently experiencing a gradual change, driven by near-term digital and technological innovations. Emerging distributed ledger technologies (DLT), such as Blockchain, open new avenues for investors and companies providing fast, secure, and low-cost peer-to-peer transactions. Bitcoin, the first application of Blockchain, has inspired other applications and products, and led to the creation of thousands of other cryptocurrencies and new wave of crowdfunding. The primary purpose of this study is to investigate both cryptocurrencies and cryptocurrency-based crowdfunding. This dissertation made up of three main parts. In the first part, the determinants of Initial Coin Offering (ICO) success and aftermarket performance of ICOs are analyzed. We find that higher ratings, shorter duration, smaller share for token sale, larger number of experts and more members in the developing team have a positive impact on ICO success. We also observe a significant relationship between offer price, market sentiment and longer term post-ICO performance. Yet, key to a successful ICO and post-ICO performance differ between boom vs bust periods in the cryptocurrency markets. The second part deals with the weak-form efficiency property of four largest cryptocurrencies by market capitalization, i.e. Bitcoin, Litecoin, Ripple and Ethereum. We use different Hurst exponent estimation techniques at different intraday frequencies. We reveal a U-shaped pattern for pricing efficiency with respect to the sampling frequency. The last part is about the hedge and safe-haven properties of Bitcoin, and its interlinkages to other precious metals (gold, silver, platinum, and palladium). Using high frequency data, we find evidence of spillover effects in volatility among Bitcoin and precious metals. Furthermore, the results suggest that the risk spillovers are time dependent and are sensitive to slowdowns in economic activity and political events. Overall, we contribute to the understanding of both market and corporate based approaches to the role of cryptocurrencies in capital markets.Item Open Access Intraday downward/upward multifractality and long memory in Bitcoin and Ethereum markets: an asymmetric multifractal detrended fluctuation analysis(Elsevier, 2019) Mensi, W.; Lee, Y. -J.; Al-Yahyaee, K.; Şensoy, Ahmet; Yoon, S. -M.This study examines high-frequency asymmetric multifractality, long memory, and weak-form efficiency for two major cryptocurrencies, namely, Bitcoin (BTC) and Ethereum (ETH), using the asymmetric multifractal detrended fluctuation analysis method to consider different market patterns. Our results show evidence of structural breaks and asymmetric multifractality. Moreover, the multifractality gap between the uptrend and downtrend is small when the time scale is small, and it increases as the time scale increases. The BTC market is more inefficient than ETH. The inefficiency is more (less) accentuated when the market follows a downward (upward) movement. The efficiency level varies based on each subperiod.Item Open Access Intraday efficiency-frequency nexus in the cryptocurrency markets(Elsevier, 2020) Aslan, Aylin; Şensoy, AhmetThis study investigates the nexus between weak-form efficiency and intraday sampling frequency for the highest capitalized cryptocurrencies. Applying a battery of long memory tests, we provide evidence of major discrepancies on the predictability of cryptocurrency returns for alternative high frequency intervals. Accordingly, efficiency demonstrates a U-shaped pattern with respect to alternative sampling frequencies, hence there exists an optimal intraday sampling frequency that maximizes the market efficiency. These findings have important implications for portfolio analysis, risk management, regulations and administrative rulings in the cryptocurrency markets.