Fortune Favours the Bold? Exploring Tournament Behavior among Australian Superannuation Funds

In this paper we investigate the tournament induced risk-shifting behavior of Australian “multi-sector growth funds”. We apply a regression-based methodology and examine tournaments based on the calendar year and the financial year. In our core analysis we find evidence in favor of Taylor’s (J Econ Behav Organ 1455:1–11, 2003) risk shifting tournament hypothesis for financial year-end tournaments. Apart from the standard tournament hypothesis we also report a range of findings regarding stability; fund age; and fund size. Support for the Taylor hypothesis generally continues across these variations as well.

The unintended consequences of the zero lower bound policy

We study the impact of the zero lower bound interest rate policy on the industrial organization of the U.S. money fund industry. We find that in response to policies that maintain low interest rates, money funds: change their product offerings by investing in riskier asset classes; are more likely to exit the market; and reduce the fees they charge their investors. The consequence of fund closures resulting from interest rate policy is the relocation of resources in affected fund families and in the asset management industry in general, as well as decline in capital of issuers borrowing from money funds.     

What Style Liquidity Timing Skills Do Mutual Fund Managers Possess?

Recent studies claim that mutual fund managers demonstrate strong MARKET liquidity timing skills. We extend their liquidity timing tests to the four‐factor case and investigate liquidity timing skills with respect to the MARKET, SIZE, VALUE and MOMENTUM factors. Contrary to these claims, we find no evidence that fund managers adjust market exposure in anticipation of market liquidity changes. We find rather strong evidence that fund managers successfully overweight small stocks as market liquidity increases. Our study also demonstrates that it is easy to misidentify SIZE liquidity timing as MARKET liquidity timing in models that focus only on MARKET liquidity timing.     

Trapped in diversification – another look at the risk of fund of hedge funds

Recent literature implies that despite being more diversified, fund of hedge funds (FOFs) are exposed to tail risk. We propose an explanation for this phenomenon; tail risk is a systematic risk factor for hedge funds, which by construction, explains the higher portion of the returns in the diversified portfolios. Our study suggests that not only an additional tail risk factor improves the explanatory power of the factor model, the relative importance of tail risk factor increases with the number of underlying hedge funds in an FOF portfolio. Furthermore, we demonstrate that FOFs with a short history, higher management fees, leverage and requiring shorter lockup periods are more sensitive to tail risk.     

Pension regulation and the market value of pension liabilities: A contingent claims analysis using Parisian options

We analyze the market-consistent valuation of pension liabilities in a contingent claim framework whereby a knock-out barrier feature is applied to capture early regulatory closure of a pension plan. We investigate two cases which we call “immediate closure procedure” and “delayed closure procedure”. In an immediate closure procedure, when the assets value hits the regulatory boundary, the pension plan is terminated immediately. Whereas in a delayed closure procedure, a grace period is given to the pension fund for reorganization and recovery before premature closure is executed. The framework is then used to construct fair pension deals. Furthermore, we provide rules for deriving the optimal recovery period in pension regulation using utility analysis and interconnect the recovery period to the regulatory liquidation probability.     

The dynamics of short-term mutual fund flows and returns: A time-series and cross-sectional investigation

This study analyzes the dynamics of daily mutual fund flows. A Vector Auto Regression (VAR) of flows and returns shows that the behavior of fund investors is more consistent with contrarian rather than momentum characteristics. Past fund flows have a positive impact on future fund returns, with the long-term information effect dominating the transient price-pressure effect. Seasonality in daily flows, such as day-of-week and day-of-month patterns are present, and daily flows are generally mean-reverting. Probit regressions indicate that fund investment objective, marketing policy and level of active management explain cross-sectional variation in the behavioral patterns displayed in daily flows. Our results are robust to the different methods of calculating daily flows based on whether or not the day-end TNA figures include the current-day’s flow. Throughout the analysis, we contrast the dynamics of daily flows with established results for monthly fund flows and find important differences between the two.     

Investors’ distraction and strategic repricing decisions

In this paper I analyze investors’ reactions to changes in the expense ratios of equity mutual funds. I show that investment flows’ response to fees cannot be fully explained by looking at investors’ performance sensitivity. While performance sensitivity monotonically increases with past performance, price sensitivity does not: investors who buy top past performers seem to be “distracted” by the fund’s previous return and pay relatively little attention to the expense ratios. Moreover price sensitivity increases with fund visibility while performance sensitivity decreases, and while looking at data from 1986 to 2006 no discernible trend can be observed in the average performance sensitivity, price sensitivity strongly increases due to the dramatic increase in the availability of mutual funds’ information for retail investors. Finally I show that investment companies strategically time their repricing decisions in order to exploit time variations in price and performance sensitivities, and that fund governance quality affects the degree to which investment companies engage in this opportunistic behavior.     

Mutual fund portfolio trading and investor flow

I estimate the extent to which mutual fund portfolio trading of securities is triggered by investor flows into and out of the funds, and find that this liquidity-induced portfolio trading activity is smaller than previously estimated by Edelen (1999). I obtain estimates from a much larger and broader sample of funds than Edelen’s (1999) sample. Portfolio managers of international funds trade a smaller fraction of investor flow than do those of domestic funds. Index funds invest a larger fraction. A funds’ usage of futures contracts does not have a statistically significant effect on how it trades in response to investor flows, but the unpredictability of investor flow weakly affects the trading response to flow.     

Can hedge funds time market liquidity?

We explore a new dimension of fund managers' timing ability by examining whether they can time market liquidity through adjusting their portfolios' market exposure as aggregate liquidity conditions change. Using a large sample of hedge funds, we find strong evidence of liquidity timing. A bootstrap analysis suggests that top-ranked liquidity timers cannot be attributed to pure luck. In out-of-sample tests, top liquidity timers outperform bottom timers by 4.0–5.5% annually on a risk-adjusted basis. We also find that it is important to distinguish liquidity timing from liquidity reaction, which primarily relies on public information. Our results are robust to alternative explanations, hedge fund data biases, and the use of alternative timing models, risk factors, and liquidity measures. The findings highlight the importance of understanding and incorporating market liquidity conditions in investment decision making.     

INVESTOR REACTION TO MUTUAL FUND PERFORMANCE: EVIDENCE FROM UK DISTRIBUTION CHANNELS

Existing work on the flow–performance relation in mutual funds focuses on the average U.S. investor, obscuring the contributions of different clienteles. We analyze UK data on monthly fund sales and purchases made via seven distinct distribution channels. We show that there exist marked differences in the reaction to fund performance between different types of retail and institutional investors. These differences can be understood by considering the incentives of parties involved in each channel. Our analysis indicates that the well‐documented aggregate net flow–performance convexity in mutual funds is driven by the extreme reaction of retail inflows to favorable performance, particularly from independently advised investors.     

Mutual fund performance evaluation with active peer benchmarks

We propose a simple approach to account for commonalities in mutual fund strategies that relies solely on information on fund returns and investment objectives. Our approach augments commonly used factor models with an additional benchmark that represents an equal investment in all same-category funds, which we call an active peer benchmark (APB). We find that APBs substantially reduce the average time series correlation of residuals between individual funds within a group when added to a four-factor equity model (or to a seven-factor fixed-income model). Importantly, adding this APB significantly improves the selection of funds with future outperformance.     

Reputation stretching in mutual fund starts

This study examines the role of reputation stretching in the context of mutual funds. We show that the reputation stretching strategy increases net fund inflows to new funds run by well-performing fund managers and yields a net increase of fund inflows to fund families. Reputable fund managers exhibit one-year performance persistence for managing new funds, which can help investors assess managers when selecting funds. We also find that the decrease in information asymmetry associated with managerial reputation benefits investors by leading to an increase in new fund returns in the short run, compared to those of new funds run by managers without track records. Overall, the reputation stretching strategy benefits both investors, by reducing information asymmetry and improving investment returns, and fund families, by increasing net fund inflows to new equity funds.