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Full-Text Articles in Business
Short Selling Meets Hedge Fund 13f: An Anatomy Of Informed Demand, Yawen Jiao, Massimo Massa, Hong Zhang
Short Selling Meets Hedge Fund 13f: An Anatomy Of Informed Demand, Yawen Jiao, Massimo Massa, Hong Zhang
Research Collection Lee Kong Chian School Of Business
The existing literature treats the short side (i.e., short selling) and the long side of hedge fund trading (i.e., fund holdings) independently. The two sides, however, complement each other: opposite changes in the two are likely to be driven by information, whereas simultaneous increases (decreases) of the two may be motivated by hedging (unwinding) considerations. We use this intuition to identify informed demand and document that it exhibits highly significant predictive power over returns (approximately 10% per year). We also find that informed demand forecasts future firm fundamentals, suggesting that hedge funds play an important role in information discovery. (C) …
The Effect Of Monetary Policy On Bank Wholesale Funding, Hyunsoo Choi, Hyun Soo Choi
The Effect Of Monetary Policy On Bank Wholesale Funding, Hyunsoo Choi, Hyun Soo Choi
Research Collection Lee Kong Chian School Of Business
We study how monetary policy affects the funding composition of the banking sector. When monetary tightening reduces the retail deposit supply due to, for example, a decrease in bank reserves or in money demand, banks try to substitute the deposit outflows with more wholesale funding in order to mitigate the policy impact on their lending. Banks have varying degrees of accessibility to wholesale funding sources because of financial frictions, and those banks that are large or that have a greater reliance on wholesale funding increase their wholesale funding more. As a result, monetary tightening increases both the reliance on and …
The Effect Of Monetary Policy On Bank Wholesale Funding, Hyunsoo Choi, Hyun Soo Choi
The Effect Of Monetary Policy On Bank Wholesale Funding, Hyunsoo Choi, Hyun Soo Choi
Research Collection Lee Kong Chian School Of Business
We study how monetary policy affects the funding composition of the banking sector. When monetary tightening reduces the retail deposit supply due to, for example, a decrease in bank reserves or in money demand, banks try to substitute the deposit outflows with more wholesale funding in order to mitigate the policy impact on their lending. Banks have varying degrees of accessibility to wholesale funding sources because of financial frictions, and those banks that are large or that have a greater reliance on wholesale funding increase their wholesale funding more. As a result, monetary tightening increases both the reliance on and …
Days To Cover And Stock Returns, Harrison G. Hong, Frank Weikai Li, Sophie X. Ni, Jose A. Scheinkman, Philip Yan
Days To Cover And Stock Returns, Harrison G. Hong, Frank Weikai Li, Sophie X. Ni, Jose A. Scheinkman, Philip Yan
Research Collection Lee Kong Chian School Of Business
A crowded trade emerges when speculators' positions are large relative to the asset's liquidity, making exit difficult. We study this problem of recent regulatory concern by focusing on short-selling. We show that days to cover (DTC), the ratio of short interest to trading volume, measures the costliness of exiting crowded trades. Crowding is an important concern as short-sellers avoid illiquid stocks, which we establish using an instrumental-variables strategy involving staggered stock market decimalization reforms. Arbitrageurs require a premium to enter into such trades as a strategy shorting high DTC stocks and buying low DTC stocks generates a 1.2% monthly return. …
Textual Analysis And Machine Leaning: Crack Unstructured Data In Finance And Accounting, Li Guo, Feng Shi, Jun Tu
Textual Analysis And Machine Leaning: Crack Unstructured Data In Finance And Accounting, Li Guo, Feng Shi, Jun Tu
Research Collection Lee Kong Chian School Of Business
In finance and accounting, relative to quantitative methods traditionally used, textual analysis becomes popular recently despite of its substantially less precise manner. In an overview of the literature, we describe various methods used in textual analysis, especially machine learning. By comparing their classification performance, we find that neural network outperforms many other machine learning techniques in classifying news category. Moreover, we highlight that there are many challenges left for future development of textual analysis, such as identifying multiple objects within one single document.
Benchmarking And Currency Risk, Massimo Massa, Yanbo Wang, Hong Zhang
Benchmarking And Currency Risk, Massimo Massa, Yanbo Wang, Hong Zhang
Research Collection Lee Kong Chian School Of Business
We show that the currency risk embedded in the benchmarks of international mutual funds negatively affects fund performance. More specifically, a high benchmark-implied currency risk induces funds to invest in markets with less volatile currencies, leading to a higher degree of currency concentration in portfolio holdings. This currency concentration, however, departs from the optimal equity allocation strategy across countries and reduces fund performance. We document that funds resorting to high currency concentrations underperform funds with low currency concentrations by as much as 1%-2% per year.