• 沒有找到結果。

The mutual funds are the most important part of the U.S. equity market. The institutional investors hold about two-third of total U.S. equity, and the largest portion of them is mutual funds. They grow almost double in value in recent decay, to the enormous amount, about US$ 27.7 trillion. I review some interesting research that may help the fund industry to be a better fund.

“Know the passive index funds”. The ETFs thrive in the recent decade. Most of them concentrate on “the big three”. They have tremendous power over corporate governance but rarely use it because of their passive nature. If the whole market turning passive, it will gain 0.67% more annually by reducing searching costs. They also become a popular choice when the actively managed funds that decide to park their assets.

However, ETFs led to high comovement for their constituent stocks by providing an easy way to invest in style or industry. They also introduce a new source of

volatility by index arbitrage. They decrease the price efficiency because they crowd out uninformed investors and stock outstanding in the long run, but increase

efficiency in the short run especially for illiquid stocks. Additionally, market indexes in other countries move with the S&P 500 when they close.

“Know the actively managed funds”. I discuss hedge fund is like “mutual fund on steroid”. They target high-net-worth and institutional customers, very low regulation, and heavy rewards for managers. No wonder they attract most skillful managers and perform better than mutual funds.

The mutual funds have liquidity regulation, make most of them behave

momentum trading strategy. They sometimes have to fire sale in the crisis, like selling corporate bonds when securitize bonds become “toxic”. On the other hand, hedge funds are contrarian, using the chance to pick undervalued stocks and profit from it.

Lock-up hedge funds have even less pressure to provide liquidity thus have a higher premium.

“Know the best”. On average, funds on average seem does not generate positive alpha. Some challenge traditional alpha is not a good measurement, we should use value-added instead. Also, the commonly used quarterly data is overlooking round-trip investment and lead to underestimating their performance, high-frequency data will be better. Using average to represent the whole fund industry is not fair. Multiple pieces of research find they are skill discrepancy between funds can lead to up to 7%

performance difference annually. The skill of funds is consistent up to ten years, and we can only distinguish skills especially in the recession.

Different market cycles are suitable for different skills. In the boom, skilled mutual funds show better stock-picking skill and hedge funds using technical analysis perform well. In the recession, skilled mutual funds show better stock-timing skill and hedge funds fundamental analysis perform well.

The speed and knowledge is power. Investors will learn from the academy to utilize newly found risk factors. And reaction speed for the regular investors is five to sixty minutes, to HFTs less than 200 milliseconds. Some research even finds evidence for information leakage.

“Know your managers”. The characteristic of good managers may graduate from a good university, but not essentially in the Ivy League. Graduate from STEM will outperform their business degree peers in the long run. And being young seems not important than work in a young fund. And maybe is good to have a brave personality.

The managers are not omniscient, they have limited attention. They track a few insiders and have higher performance than untracked ones. But during busy

announcement season or even during their own marriage or divorce, they are distracted and therefore performance suffered.

“Know your customers” retail investors may just aware non-rational signals like past absolute returns, and often overlook the fees. Institutional investors, on the other hand, care more about the risk-adjust return, Jensen’s alpha, and performance relative to benchmarks.

Retail investors their non-rational behavior may be exploited by funds. Those behavioral biases may have rooted in our genes and IQ. But they can be reduced by financial knowledge and education. Broker-sold funds are expensive and perform worse than direct-sold funds shows possible agency problems. Even firms or funds may be exploited by other institutional investors. Their lending or huge trade information may leak and used by other investors.

“Know the future.” I discuss the modernization of funds. Regarding quant funds, there is no significant difference in performance, but they have less exposure to risk factors than traditional funds. For sentiment analysis, they find daily sentiment has about two days of momentum. Good news influence about two weeks, but bad news can persist a quarter. For HFT, their profit link to relative latency, and the competition is more brutal each year.

“Truth is stranger than fiction, but it is because fiction is obliged to stick to possibilities; Truth isn't.” - Mark Twain. The truth in the financial world is much weirder than the fundamental theories from textbooks. The complex and

ever-changing nature of human society makes these new researches very important to read.

The new technology will be interesting topics for funds, such as neutral language processing, big data mining, artificial intelligence, and blockchain. The evolution of the financial world during the COVID‑19 pandemic is also very interesting. We will expect to see exciting paradigm-changing development for the fund industry in the near future.

Andreu, Laura, and Alexander Puetz, 2017, Choosing two business degrees versus choosing one: What does it tell about mutual fund managers’ investment behavior?, Journal of Business Research 75, 138–146.

Anufriev, Mikhail, Te Bao, Angela Sutan, and Jan Tuinstra, 2019, Fee structure and mutual fund choice: An experiment, Journal of Economic Behavior &

Organization 158, 449–474.

Aragon, George O., J. Spencer Martin, and Zhen Shi, 2019, Who benefits in a crisis?

Evidence from hedge fund stock and option holdings, Journal of Financial

Economics 131, 345–361.

Barber, Brad M., and Terrance Odean, 2008, All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors, Review of Financial Studies 21, 785–818.

Barber, Brad M., and Terrance Odean, 2013, The Behavior of Individual Investors,

Handbook of the Economics of Finance (Elsevier).

Baron, Matthew, Jonathan Brogaard, Björn Hagströmer, and Andrei Kirilenko, 2019, Risk and Return in High-Frequency Trading, Journal of Financial and

Quantitative Analysis 54, 993–1024.

Basak, Suleyman, and Anna Pavlova, 2013, Asset Prices and Institutional Investors,

American Economic Review 103, 1728–1758.

Ben‐David, Itzhak, Francesco Franzoni, and Rabih Moussawi, 2018, Do ETFs Increase Volatility?, The Journal of Finance 73, 2471–2535.

Berk, Jonathan B., and Jules H. van Binsbergen, 2015, Measuring skill in the mutual fund industry, Journal of Financial Economics 118, 1–20.

Bodnaruk, Andriy, and Andrei Simonov, 2016, Loss-Averse Preferences,

Performance, and Career Success of Institutional Investors, Review of Financial

Studies 29, 3140–3176.

Broman, Markus S., 2016, Liquidity, style investing and excess comovement of exchange-traded fund returns, Journal of Financial Markets 30, 27–53.

Cao, Charles, Bradley A. Goldie, Bing Liang, and Lubomir Petrasek, 2016, What Is the Nature of Hedge Fund Manager Skills? Evidence from the Risk-Arbitrage Strategy, Journal of Financial and Quantitative Analysis 51, 929–957.

Chen, Huaizhi, Lauren Cohen, Umit Gurun, Dong Lou, and Christopher Malloy, 2020, IQ from IP: Simplifying Search in Portfolio Choice, Journal of Financial

Economics.

Chen, Rui, Zhennan Gao, Xueyong Zhang, and Min Zhu, 2018, Mutual Fund Managers’ Prior Work Experience and Their Investment Skill, Financial

Management 47, 3–24.

Chordia, Tarun, Richard Roll, and Avanidhar Subrahmanyam, 2005, Evidence on the speed of convergence to market efficiency, Journal of Financial Economics 76, 271–292.

Crane, Alan D., and Kevin Crotty, 2018, Passive versus Active Fund Performance: Do Index Funds Have Skill?, Journal of Financial and Quantitative Analysis 53, 33–

64.

Cronqvist, Henrik, and Stephan Siegel, 2014, The genetics of investment biases,

Journal of Financial Economics 113, 215–234.

Del Guercio, Diane, Egemen Genç, and Hai Tran, 2018, Playing favorites: Conflicts of interest in mutual fund management, Journal of Financial Economics 128, 535–557.

Dichev, Ilia D., and Gwen Yu, 2011, Higher risk, lower returns: What hedge fund investors really earn, Journal of Financial Economics 100, 248–263.

Dyck, Alexander, Karl V. Lins, and Lukasz Pomorski, 2013, Does Active Management Pay? New International Evidence, The Review of Asset Pricing

Studies 3, 200–228.

Edelen, Roger M., Ozgur S. Ince, and Gregory B. Kadlec, 2016, Institutional investors and stock return anomalies, Journal of Financial Economics 119, 472–488.

Evans, Richard B., and Rüdiger Fahlenbrach, 2012, Institutional Investors and Mutual Fund Governance: Evidence from Retail–Institutional Fund Twins, The Review of

Financial Studies 25, 3530–3571.

Fichtner, Jan, 2019, The Rise of Institutional Investors. Preprint, SocArXiv.

Fichtner, Jan, Eelke M. Heemskerk, and Javier Garcia-Bernardo, 2017, Hidden power of the Big Three? Passive index funds, re-concentration of corporate ownership, and new financial risk†, Business and Politics 19, 298–326.

French, Kenneth R., 2008, Presidential Address: The Cost of Active Investing, The

Journal of Finance 63, 1537–1573.

Gao, Meng, and Jiekun Huang, 2016, Capitalizing on Capitol Hill: Informed trading by hedge fund managers, Journal of Financial Economics 121, 521–545.

Glosten, Lawrence, Suresh Nallareddy, and Yuan Zou, 2020, ETF Activity and Informational Efficiency of Underlying Securities, Management Science.

Goetzmann, William N., Dasol Kim, Alok Kumar, and Qin Wang, 2015, Weather-Induced Mood, Institutional Investors, and Stock Returns, Review of Financial

Studies 28, 73–111.

Griffin, John M., Tao Shu, and Selim Topaloglu, 2012, Examining the Dark Side of Financial Markets: Do Institutions Trade on Information from Investment Bank Connections?, The Review of Financial Studies 25, 2155–2188.

Grinblatt, Mark, Seppo Ikäheimo, Matti Keloharju, and Samuli Knüpfer, 2015, IQ and Mutual Fund Choice, Management Science 62, 924–944.

Grinblatt, Mark, Gergana Jostova, Lubomir Petrasek, and Alexander Philipov, 2020, Style and Skill: Hedge Funds, Mutual Funds, and Momentum, Management

Science.

Guercio, Diane Del, and Jonathan Reuter, 2014, Mutual Fund Performance and the Incentive to Generate Alpha, The Journal of Finance 69, 1673–1704.

Harvey, Campbell R., Sandy Rattray, Andrew Sinclair, and Otto Van Hemert, 2017, Man vs. Machine: Comparing Discretionary andSystematic Hedge Fund

Performance, The Journal of Portfolio Management 43, 55–69.

Hendershott, Terrence, Dmitry Livdan, and Norman Schürhoff, 2015, Are institutions informed about news?, Journal of Financial Economics 117, 249–287.

Heston, Steven L., and Nitish Ranjan Sinha, 2017, News vs. Sentiment: Predicting Stock Returns from News Stories, Financial Analysts Journal 73, 67–83.

Hu, Grace Xing, Jun Pan, and Jiang Wang, 2017, Early peek advantage? Efficient price discovery with tiered information disclosure, Journal of Financial

Economics 126, 399–421.

Ibbotson, Roger G., Peng Chen, and Kevin X. Zhu, 2011, The ABCs of Hedge Funds:

Alphas, Betas, and Costs, Financial Analysts Journal 67, 15–25.

Investment Company Institute, 2019, 2019 Investment Company Fact Book.

Israeli, Doron, Charles M. C. Lee, and Suhas A. Sridharan, 2017, Is there a dark side to exchange traded funds? An information perspective, Review of Accounting

Studies 22, 1048–1083.

Ivashina, Victoria, and Zheng Sun, 2011, Institutional stock trading on loan market information, Journal of Financial Economics 100, 284–303.

James, Christopher, and Jason Karceski, 2006, Investor monitoring and differences in mutual fund performance, Journal of Banking & Finance 30, 2787–2808.

Kacperczyk, Marcin, Stijn Van Nieuwerburgh, and Laura Veldkamp, 2014, Time-Varying Fund Manager Skill, The Journal of Finance 69, 1455–1484.

Kang, Byoung Uk, Jin-Mo Kim, Oded Palmon, and Zhaodong Zhong, 2020, Are college education and job experience complements or substitutes? Evidence from hedge fund portfolio performance, Review of Quantitative Finance and

Accounting 54, 1247–1278.

Kaplan, Steven N., and Joshua Rauh, 2010, Wall Street and Main Street: What Contributes to the Rise in the Highest Incomes?, The Review of Financial Studies 23, 1004–1050.

Kostovetsky, Leonard, 2017, Brain Drain: Are Mutual Funds Losing Their Best Minds?, Quarterly Journal of Finance 07, 1750009.

Kurov, Alexander, Alessio Sancetta, Georg Strasser, and Marketa Halova Wolfe, 2019, Price Drift Before U.S. Macroeconomic News: Private Information about

Public Announcements?, Journal of Financial and Quantitative Analysis 54, 449–

479.

Levy, Ariel, and Offer Lieberman, 2013, Overreaction of country ETFs to US market returns: Intraday vs. daily horizons and the role of synchronized trading, Journal

of Banking & Finance 37, 1412–1421.

Lewellen, Jonathan, 2011, Institutional investors and the limits of arbitrage, Journal

of Financial Economics 102, 62–80.

Lim, Jongha, Berk A. Sensoy, and Michael S. Weisbach, 2016, Indirect Incentives of Hedge Fund Managers, The Journal of Finance 71, 871–918.

Lu, Yan, Sugata Ray, and Melvyn Teo, 2016, Limited attention, marital events and hedge funds, Journal of Financial Economics 122, 607–624.

Maggio, Marco Di, Francesco Franzoni, Amir Kermani, and Carlo Sommavilla, 2019, The relevance of broker networks for information diffusion in the stock market,

Journal of Financial Economics 134, 419–446.

Manconi, Alberto, Massimo Massa, and Ayako Yasuda, 2012, The role of institutional investors in propagating the crisis of 2007–2008, Journal of

Financial Economics 104, 491–518.

McCarthy, David, and Brian Wong, 2020, Hedge Funds Versus Hedged Mutual Funds: An Examination of Long/Short Funds; A Performance Update. SSRN Scholarly Paper, Social Science Research Network, Rochester, NY.

Mclean, R. David, and Jeffrey Pontiff, 2016, Does Academic Research Destroy Stock Return Predictability?, The Journal of Finance 71, 5–32.

Puckett, Andy, and Xuemin Sterling Yan, 2011, The Interim Trading Skills of Institutional Investors, The Journal of Finance 66, 601–633.

Roussanov, Nikolai, Hongxun Ruan, and Yanhao Wei, 2018, Marketing Mutual Funds. Working Paper. Working Paper Series, National Bureau of Economic Research.

Salganik-Shoshan, Galla, 2015, Investment Flows: Retail versus Institutional Mutual Funds. SSRN Scholarly Paper, Social Science Research Network, Rochester, NY.

Schmidt, Daniel, 2019, Distracted Institutional Investors, Journal of Financial and

Quantitative Analysis 54, 2453–2491.

SIFMA, 2019, SIFMA Capital Markets Fact Book, 2019, Securities Industry and Financial Markets Association.

Silver, Nicholas, 2017, Blindness to risk: why institutional investors ignore the risk of stranded assets, Journal of Sustainable Finance & Investment 7, 99–113.

Smith, David M., Na Wang, Ying Wang, and Edward J. Zychowicz, 2016, Sentiment and the Effectiveness of Technical Analysis: Evidence from the Hedge Fund Industry, Journal of Financial and Quantitative Analysis 51, 1991–2013.

‧ 國

立 政 治 大 學

N a tio na

l C h engchi U ni ve rs it y

DOI:10.6814/NCCU202001043

31

Sun, Zheng, Ashley W. Wang, and Lu Zheng, 2018, Only Winners in Tough Times Repeat: Hedge Fund Performance Persistence over Different Market Conditions,

Journal of Financial and Quantitative Analysis 53, 2199–2225.

Willis Towers Watson, 2019, The world’s largest fund managers - 2019. Thinking Ahead Institute.

World Bank, 2019, Gross domestic product 2018. World Development Indicators database.

相關文件