Browsing by Author "Aslan, Aylin"

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Open Access
Determinants of ICO success and post-ICO performance
(Borsa Istanbul Anonim Sirketi, 2022-10-20) Aslan, Aylin; Ahmet, Şensoy; Akdeniz, Levent
Initial coin offerings (ICOs) have emerged as an alternative way of raising funds for entrepreneurial ventures to develop a new project or product. In this study, a comprehensive analysis is conducted on the determinants of ICO success and aftermarket performance of ICOs. Our evidence suggests that ICOs with higher ratings, shorter planned token sale duration, smaller share for token sale, larger number of experts and more members in the developing team have a greater likelihood of success and raising more funds. We also show that offer price and market sentiment play a major role in explaining 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.
Open Access
Financial economics of cryptocurrency markets
(2021-01) Aslan, Aylin
The 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.
Open Access
High-frequency asymmetric volatility connectedness between Bitcoin and major precious metals markets
(Elsevier, 2019) Mensi, W.; Şensoy, Ahmet; Aslan, Aylin; Kang, S. H.
This study examines the asymmetric volatility connectedness between Bitcoin and major precious metals markets (gold, silver, palladium, and platinum). We use high-frequency data with methodologies introduced by Diebold and Yilmaz (2014) and Baruník, Kočcenda, and Vácha (2017). The results show evidence of significant volatility spillover effects between Bitcoin and precious metals. Moreover, the risk spillovers vary over time and are sensitive to slowdowns in economic activity and political events (e.g., the Brexit vote and the US presidential election). Palladium is the largest net contributor of spillovers while Bitcoin is a net recipient. Finally, evidence of asymmetry in semi-volatility transmission shows that Bitcoin heavily transmits net-positive spillovers to other assets. The results of our research are of interest and importance to investors, portfolio managers, and policy-makers, as the results can readily inform their decision-making.
Open Access
Intraday efficiency-frequency nexus in the cryptocurrency markets
(Elsevier, 2020) Aslan, Aylin; Şensoy, Ahmet
This 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.