Determinants of mutual fund flows

Author:

Kopsch Fredrik,Song Han-Suck,Wilhelmsson Mats

Abstract

Purpose – The purpose of this paper is to study the determinants of aggregate fund flows to both equity and hybrid mutual funds. The authors test three hypotheses that help explaining the relationship between mutual fund flows and stock market returns, namely; the feedback-trader hypothesis, the price-pressure hypothesis, and the information-response hypothesis. Design/methodology/approach – The study relies on Swedish quarterly data on mutual fund flows over the period 1998-2013. The methodology is twofold; through the structural models (AR(1)) the authors can say something regarding the relationship between mutual fund flows and financial macro variables. The analysis is further strengthened by utilizing a vector autoregressive model to test for Granger causality in order to determine the order of events. Findings – Similar to both Warther (1995) and Jank (2012), the authors only find support for the information-response hypothesis. Additionally, the authors find new financial variables that have predictive power in determining mutual fund flows, namely; market fear (VIX), exchange rate, households’ expectation regarding inflation as well as outflows from mutual bond funds. Originality/value – The study contributes to the body of literature in three ways. First, it complements recent findings on determinants of mutual fund flows but the authors also add to the knowledge by included new macro financial variables describing the real economy. Second, the authors include a few additional variables. Third, the vast majority of previous studies have used US data, the authors add to that a deeper understanding of determinants of mutual fund flows in smaller economies by using Swedish data.

Publisher

Emerald

Subject

Business, Management and Accounting (miscellaneous),Finance

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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3. Predicting NAVs of mutual funds using the ARIMA model;2nd INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCES-MODELLING, COMPUTING AND SOFT COMPUTING (CSMCS 2022);2023

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5. Forecasting Fund Flows in Indian Equity Mutual Funds Market using Time Series Analysis: An Empirical Investigation;Journal of Business Thought;2021-12-15

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