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- Hedge funds (2)
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- Financial Analysts (1)
- First funds (1)
- Follow-on funds (1)
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- Futures market (1)
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- Sensation seeking (1)
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Articles 1 - 7 of 7
Full-Text Articles in Business
Volume Information In Nikkei And Topix Futures Transactions, Chyng Wen Tee, Christopher Ting
Volume Information In Nikkei And Topix Futures Transactions, Chyng Wen Tee, Christopher Ting
Research Collection Lee Kong Chian School Of Business
According to the Kyle (1985) model of informed trading, information in trade size is likely to effect a permanent price impact. However, two prominent structural models in the literature do not include trade size in their framework. In this paper, we present a nesting relationship of major structural models and formulate a generalized model that includes all trade variables. A new measure to quantify the amount of information in the order flow is proposed. Our empirical analysis shows that it is indeed the "surprise" in trade size that contributes significantly in reflecting the price change of Nikkei and TOPIX futures.
Hedge Fund Franchises, William Fung, David Hsieh, Narayan Y. Naik, Melvyn Teo
Hedge Fund Franchises, William Fung, David Hsieh, Narayan Y. Naik, Melvyn Teo
Research Collection Lee Kong Chian School Of Business
Duplicate, see https://ink.library.smu.edu.sg/lkcsb_research/5964/. We investigate the growth strategies of hedge fund firms. We find that firms with successful first funds are able to launch follow-on funds that charge higher performance fees, set more onerous redemption terms, and attract greater inflows. Motivated by the aforementioned spillover effects, first funds outperform follow-on funds, after adjusting for risk. The multiple-product growth strategy hurts investors while benefiting hedge fund firms; multiple-product firms underperform single-product firms but harvest greater fee revenues. Investors respond to this growth strategy by redeeming from first funds of firms with follow-on funds that do poorly. Moreover, skilled investors allocate …
Sell Side Benchmarks, Ohad Kadan, Leonardo Madureira, Rong Wang, Tzachi Zach
Sell Side Benchmarks, Ohad Kadan, Leonardo Madureira, Rong Wang, Tzachi Zach
Research Collection Lee Kong Chian School Of Business
Sell-side analysts employ different benchmarks when defining their stock recommendations. For example, a ‘buy’ for some brokers means the stock is expected to outperform its peers in the same sector (“sector benchmarkers”), while for other brokers it means the stock is expected to outperform the market (“market benchmarkers”), or just some absolute return (“total benchmarkers”). We explore the validity and implications of the adoption of these different benchmarks. Analysis of the relation between analysts’ recommendations and their long-term growth and earnings forecasts suggests that analysts indeed abide by their benchmarks: Sector benchmarkers rely less on across-industry information, and focus more …
Are Capital Market Anomalies Common To Equity And Corporate Bond Markets?, Tarun Chordia, Amit Goyal, Yoshio Nozowa, Avanidhar Subrahmanyam, Qing Tong
Are Capital Market Anomalies Common To Equity And Corporate Bond Markets?, Tarun Chordia, Amit Goyal, Yoshio Nozowa, Avanidhar Subrahmanyam, Qing Tong
Research Collection Lee Kong Chian School Of Business
This paper studies whether the commonly analyzed equity return predictors also predict corporate bond returns. Bond markets do price risk, but are also susceptible to delayed information transmission relative to equities. Firm size and profitability are negatively priced while idiosyncratic volatility is positively priced, suggesting that large firms, more profitable firms and relatively less volatile firms are more attractive to bond investors, thus requiring lower returns. Consistent with a relatively sophisticated institutional clientele, bonds are efficiently priced in that none of the behaviorally-motivated variables provide profitable trading strategies after accounting for transactions costs, though some risk-based variables continue to do …
Shades Of Darkness: A Pecking Order Of Trading Venues, Albert J. Menkveld, Bart Zhou Yueshen, Haoxiang Zhu
Shades Of Darkness: A Pecking Order Of Trading Venues, Albert J. Menkveld, Bart Zhou Yueshen, Haoxiang Zhu
Research Collection Lee Kong Chian School Of Business
We characterize the dynamic fragmentation of U.S. equity markets using a unique data set that disaggregates dark transactions by venue types. The "pecking order" hypothesis of trading venues states that investors "sort" various venue types, putting low-cost-low-immediacy venues on top and high-cost-high-immediacy venues at the bottom. Hence, midpoint dark pools on top, non-midpoint dark pools in the middle, and lit markets at the bottom. As predicted, following VIX shocks, macroeconomic news, and firms' earnings surprises, changes in venue market shares become progressively more positive (or less negative) down the pecking order. We further document heterogeneity across dark venue types and …
Sensation-Seeking Hedge Funds, Stephen Brown, Yan Lu, Sugata Ray, Melvyn Teo
Sensation-Seeking Hedge Funds, Stephen Brown, Yan Lu, Sugata Ray, Melvyn Teo
Research Collection Lee Kong Chian School Of Business
Using a novel dataset of hedge fund manager automobile purchases, we show that, motivated by sensation seeking, hedge fund managers often take risk for personal and non-pecuniary reasons. In line with the sensation seeking view, managers who own powerful sports cars take on more investment risk but do not deliver higher returns, resulting in lower Sharpe ratios. Moreover, funds managed by performance car owners exhibit higher operational risk and are more likely to fail. Performance car owners demonstrate other attributes associated with sensation seeking, such as a preference for lottery-like stocks, unconventional strategies, and active trading.
International Volatility Risk And Chinese Stock Return Predictability, Jian Chen, Fuwei Jiang, Yangshu Liu, Jun Tu
International Volatility Risk And Chinese Stock Return Predictability, Jian Chen, Fuwei Jiang, Yangshu Liu, Jun Tu
Research Collection Lee Kong Chian School Of Business
This paper investigates the predictive ability of international volatility risks for the daily Chinese stock market returns. We employ the innovations in implied volatility indexes of seven major international markets as our international volatility risk proxies. We find that international volatility risks are negatively associated with contemporaneous Chinese daily overnight stock returns, while positively forecast next-day Chinese daytime stock returns. The US volatility risk (ΔVIX) is particularly powerful in forecasting Chinese stock returns, and plays a dominant role relative to the other six international volatility measures. ΔVIX's forecasting power remains strong after controlling for Chinese domestic volatility and is robust …