Investor Sentiment and Flows into Treasury Funds

2018 ◽  
Keyword(s):  
Mutual Funds ◽  
Financial Market ◽  
Mutual Fund ◽  
Explanatory Power ◽  
Investor Sentiment ◽  
Fund Flows ◽  
Inflation Expectations ◽  
Relative Response ◽  
Financial Market Risk ◽  
Blue Chip

The author compares the relative response of Treasury fund flows to the sentiment-prone Michigan Survey of Inflation Expectations and to the Blue Chip Survey of Financial Forecasts, a professional forecast of inflation. The Treasury market is an ideal subject for examining whether or not sentiment affects flows: it is highly liquid, making it unlikely that it is hard to arbitrage, and inflation is the primary factor affecting its returns. Using mutual fund inflows into TIPs and Treasury mutual funds that occurred between January 1991 and June 2011, the author finds that the Michigan Survey is insignificantly related to flows into inflation-indexed TIPs and is positively related to flows into nominal Treasury funds. The Blue Chip Survey does not have incremental explanatory power. The evidence is consistent with a combination of a hedging motive and a flight to liquidity triggered by information in the Michigan Survey about households’ perception of financial market risk. The two motives reinforce each other in driving flows into nominal Treasury funds when the Michigan forecast of inflation is high, while they appear to cancel each other out in determining flows into the illiquid TIPS market.

Measuring investor sentiment with mutual fund flows

2012 ◽  
Vol 104 (2) ◽  
pp. 363-382 ◽  
Author(s):  
Azi Ben-Rephael ◽  
Shmuel Kandel ◽  
Avi Wohl
Keyword(s):  
Mutual Fund ◽  
Investor Sentiment ◽  
Fund Flows ◽  
Mutual Fund Flows

scholarly journals A comparative study of the performance of Saudi mutual funds

2016 ◽  
Vol 13 (4) ◽  
pp. 89-102 ◽  
Author(s):  
Ahmed El-Masry ◽  
Dalia A. El-Mosallamy
Keyword(s):  
Emerging Markets ◽  
Mutual Funds ◽  
Mutual Fund ◽  
Emerging Market ◽  
Explanatory Power ◽  
Fund Performance ◽  
The Other ◽  
Equity Fund ◽  
Evaluation Measures ◽  
Market Portfolio

This study examines the performance of 21 Saudi mutual funds using the CAPM and downside CAPM D-CAPM models over the period 2005-2011. Initially equity fund performance is examined against two benchmarks TASI and the GCCI Islamic index utilizing the traditional beta and CAPM performance evaluation measures. The evaluation is then replicated utilizing the downside beta and other tests of funds’ performance derived from the CAPM in the down side framework. The results indicate that the downside beta could be more relevant in terms of its higher explanatory power than the traditional beta and thus CAPM in the downside framework could be more relevant to report on funds’ performance in this emerging market. After exploring the aggregate performance by forming two fund portfolios; one representing the average Islamic mutual fund and the other is the average conventional fund, to examine the performance of the Islamic mutual funds portfolio compared to its conventional peers and to the overall market, the study finds, on average, Islamic mutual funds in outperform conventional mutual funds and the market portfolio. The study concludes that it is equally important for practitioners in emerging markets, to report performance using both CAPM measures and D-CAPM measures and if differences exist, then the D-CAPM could be the superior measure because of its suitability to the asymmetrical distribution of returns existing in emerging markets in general.

scholarly journals A New Investor Sentiment Indicator Based on Return Decomposition

2016 ◽  
Vol 4 (2) ◽  
pp. 121-130
Author(s):  
Yuan Liu ◽  
Yan Shang ◽  
Jianming Shi ◽  
Shouyang Wang
Keyword(s):  
Financial Market ◽  
Explanatory Power ◽  
Investor Sentiment ◽  
Price Impact ◽  
Idiosyncratic Volatility ◽  
Capital Asset ◽  
Return Decomposition ◽  
Daily Data ◽  
Section Model ◽  
Asset Mispricing

AbstractThis paper extends the DSSW model to accommodate rational arbitrageurs, optimistic investors and pessimistic investors. We model the price impact by using daily data and create a new methodology to calculate the optimistic and the pessimistic. The new sentiment indicator has high correlation with the other traditional ones, and as a proxy variable of individual share or financial market on daily, it could distinguish the optimistic and the pessimistic. In the empirical research, we develop a time-series model and a cross-section model respectively to explore the explanatory power of highly frequent investor sentiment to idiosyncratic volatility and capital asset mispricing. The results show that the new sentiment indicator can explain 21.31% of idiosyncratic volatility to individual share on average, and it has a great explanation of 36% to capital asset mispricing.

scholarly journals Does Sustainability Score Impact Mutual Fund Performance?

2019 ◽  
Vol 11 (10) ◽  
pp. 2972 ◽  
Author(s):  
Pablo Durán-Santomil ◽  
Luis Otero-González ◽  
Renato Heitor Correia-Domingues ◽  
Juan Carlos Reboredo
Keyword(s):  
Mutual Funds ◽  
Mutual Fund ◽  
Value At Risk ◽  
Fund Performance ◽  
Fund Flows ◽  
Socially Responsible ◽  
Equity Fund ◽  
Socially Responsible Investments ◽  
Mutual Fund Flows ◽  
European Equity

Given that sustainable investing constitutes a major force across global financial markets, in 2016 Morningstar began reporting Morningstar Sustainability scores. We used the 2016, 2017 and 2018 scores to study the effects of socially responsible investments (SRI) on European equity fund performance. Sustainability scores impacted positively on performance, which was consistent with the idea that the mutual funds invested in companies with better scores generate better risk-adjusted and not-risk adjusted performance. We also tested the relation on mutual fund flows and risk. The sustainability score in the previous year is significant on the flows, so higher-rated funds receive a larger volume of funds. In terms of risk, the level of sustainability is negatively related to the value at risk (VaR) of the fund, supporting that higher scored mutual funds offer better protection against extreme losses.

scholarly journals The Effect of Fund Uniqueness on Fund Flow Sensitivity: An Empirical Study of Chinese Public Mutual Funds

2016 ◽  
Vol 8 (10) ◽  
pp. 14
Author(s):  
Qiaobo Zhang
Keyword(s):  
Mutual Funds ◽  
Mutual Fund ◽  
Fund Flows ◽  
Past Performance ◽  
Flow Sensitivity ◽  
Fund Flow ◽  
Stable Pattern ◽  
Panel Regressions ◽  
Equity Funds ◽  
Cluster Analysis Method

With the quick development of mutual funds in China, problem of fund homogeneity becomes more and more non-negligible. This paper constructs a uniqueness index to measure the uniqueness of funds in China by applying cluster analysis method and studies the effect of fund uniqueness on fund flow sensitivity with panel regressions. Using the sample of Chinese publicly-traded equity funds over the years at the quarterly frequency, the empirical result shows that fund uniqueness exert a significant impact on fund flows. That is, fund flows respond less sensitively to the past performance of unique funds than non-unique funds, indicating that more unique funds tend to exhibit a more stable pattern of fund flows. Based on these findings and relevant theories, this paper puts forward some suggestions on promoting the differentiation of fund products in China and thus contributes to the overall health of Chinese mutual fund market.

scholarly journals Investor Sentiment in Japanese and U.S. Daily Mutual Fund Flows

10.3386/w9470 ◽  
2003 ◽  
Author(s):  
Stephen Brown ◽  
William Goetzmann ◽  
Takato Hiraki ◽  
Noriyoshi Shirishi ◽  
Masahiro Watanabe
Keyword(s):  
Mutual Fund ◽  
Investor Sentiment ◽  
Fund Flows ◽  
Mutual Fund Flows

scholarly journals Capital markets in Central and Eastern Europe: two selected cases

2017 ◽  
Vol 11 (1) ◽  
pp. 597-606 ◽  
Author(s):  
Luminiţa Nicolescu ◽  
Florentin Gabriel Tudorache
Keyword(s):  
Financial Crisis ◽  
Mutual Funds ◽  
Capital Markets ◽  
Mutual Fund ◽  
Global Financial Crisis ◽  
Fund Flows ◽  
Past Performance ◽  
Individual Level ◽  
The Global Financial Crisis ◽  
Mutual Fund Flows

Abstract The evolution of mutual funds in terms of their inflows and outflows is seen as a good indicator of the capital markets’ performance in different countries. At individual level, investors substantiate their buying decisions on the past performance information and invest asymmetrically in funds with very good performance in the previous periods. Numerous studies, mainly conducted in US, illustrate that mutual fund flows are highly dependent on the funds’ previous performance, as a common behavior of investors resides in looking for highly performing funds than to get rid of poorly performing ones. This paper investigates the flows of funds into and out of Slovakian and Hungarian mutual funds during the period 2007-2014 and has as main purpose to analyze the behavior of investors in mutual funds in these two emerging financial markets. The analysis focuses on identifying patterns in investors’ decision making processes and on checking the similarity of their behavioral patterns and illustrating differences among the two. Given the peculiarities of the studied period, a financially turbulent period, the paper also tries to evaluate if and how the financial crisis affected the investing behavior of Slovakian and Hungarian investors, based on the evolution of inflows and outflows of funds in a period that comprises the global financial crisis and the present period in which recovery has started.

scholarly journals Runs on Money Market Mutual Funds

2016 ◽  
Vol 106 (9) ◽  
pp. 2625-2657 ◽  
Author(s):  
Lawrence Schmidt ◽  
Allan Timmermann ◽  
Russ Wermers
Keyword(s):  
Mutual Funds ◽  
Mutual Fund ◽  
Money Market ◽  
Fund Flows ◽  
Dynamic Interactions ◽  
Cross Sectional ◽  
Class Level ◽  
Money Market Mutual Funds ◽  
The Individual ◽  
Mutual Fund Flows

We study daily money market mutual fund flows at the individual share class level during September 2008. This fine granularity of data allows new insights into investor and portfolio holding characteristics conducive to run risk in cash-like asset pools. We find that cross-sectional flow data observed during the week of the Lehman failure are consistent with key implications of a simple model of coordination with incomplete information and strategic complementarities. Similar conclusions follow from daily models fitted to capture dynamic interactions between investors with differing levels of sophistication within the same money fund, holding constant the underlying portfolio. (JEL D14, G11, G23)

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