Managerial skill and closed-end fund discounts

Empirical evidence from the UK market is examined in the light of recent theories about closed-end fund discounts. Market pricing of skill, relative to the fees charged for it, accounts for a significant portion of discount variation, but cannot explain the rarity of index funds or why they trade at a discount, since fees tend to be lower than on open-end funds. Index funds have lower discount volatility, consistent with the skill hypothesis. The results imply that managerial skill, relative to the fees charged, does not wholly account for the tendency of closed-end funds to trade at a discount.     

Dividend distributions and closed-end fund discounts

Empirical support for the hypothesis that closed-end fund discounts are related to overhanging tax liabilities has been mixed. We introduce a new approach to testing this hypothesis by examining changes in discount levels following distributions of dividends and capital gains. Since distributions reduce future shareholder tax liabilities, the tax liability hypothesis implies that closed-end fund discounts should decline following distributions. Focusing on changes in discounts isolates this tax effect by eliminating the impact of other fund-specific factors on discount levels. Our results support the tax liability hypothesis, showing that short-run fluctuations in discounts are directly affected by taxable distributions.     

The information content of closed-end country fund discounts

This paper examines whether premiums and discounts on closed-end country mutual funds (CECFs) contain useful information about future returns. We find that higher CECF premiums are associated both with higher future returns on the relevant foreign market index and with higher future NAV returns after controlling for the foreign market return. CECFs trading at large discounts are not necessarily bargains, because their future NAV performance can be expected to be relatively poor.     

Bank affiliation and discounts on closed-end funds

This study investigates whether investors value the bank affiliation of closed-end funds and analyzes whether investors treat funds differently because of their affiliated bank type, commercial or investment, and the size of their affiliated commercial bank, small or big. The analysis of the discounts on closed-end funds traded on Borsa Istanbul reveals that bank-affiliated funds trade at a lower discount than other funds, controlling for fund characteristics and market conditions. It is found that investors are willing to pay a higher price on funds affiliated with commercial banks, especially big ones, than bank-unaffiliated funds. However, discounts on all bank-affiliated funds increased more than discounts on unaffiliated funds during the banking crisis of 2000–2001 in Turkey suggesting that investors are willing to pay a trust premium to invest in funds that are affiliated with banks regardless of their type or size.     

Mutual fund flows,expected returns,and the real economy

This paper investigates the relation between mutual fund flows and the real economy. The findings of this paper support the theory that the positive co-movement of flows into equity funds and stock market returns is explained by a common response to macroeconomic news. Variables that predict the real economy as well as the equity premium – in particular dividend-price ratio, default spread, relative T-Bill rate and consumption-wealth ratio – are related to fund flows and can account for the correlation of flows and market returns. Furthermore, consistent with the information-response hypothesis, mutual fund flows are forward-looking and predict real economic activity.     

Payout policies and closed-end fund discounts: Signaling, agency costs, and the role of institutional investors

The adoption of a managed distribution policy or plan (MDP) by closed-end funds appears effective in dramatically reducing, even eliminating, fund discounts. We investigate two possible explanations: the signaling explanation proposed in the literature, that the MDP serves as a positive signal of future fund performance, and an alternative explanation based on agency costs. Our results indicate that signaling is, at best, only part of the explanation and that the evidence is generally more consistent with the agency cost hypothesis. For funds adopting aggressive payout targets of 10% (median target) and above, discounts tend to disappear, though there is no discernible improvement in NAV performance. Consistent with the agency cost hypothesis, it is often pressure from institutions/large shareholders that leads to the adoption of aggressive payout policies. Moreover, aggressive-MDPs are associated with a decrease in fund size and managerial fees. Suggestive of their activist role in MDP adoptions and/or informed trading, institutions – especially ones that are Value oriented – tend to build-up their holdings in a fund prior to the adoption of an aggressive-MDP, and liquidate their positions once the price rises.     

Limited participation and the closed-end fund discount

In this paper, we present economic forces that affect the closed-end fund share price using a simple two-period model with limited participation. We characterize three economic forces: management fee, principal-agent problem effect and diversification benefit effect. The role of the management fee is consistent with recent studies by Ross [Ross S., 2002. Neoclassical finance, alternative finance and the closed end fund puzzle. European Financial Management 8, 129–137, Ross, S., 2002. A neoclassical look at behavioral finance: closed end funds. The Princeton lectures in finance III] and findings of various empirical studies [e.g., Kumar, R., Noronha, G.M., 1992. A re-examination of the relationship between closed-end fund discounts and expenses. Journal of Financial Research 15(2) Summer, 139–147; Russel, P.S., 2005. Closed-end fund pricing: The puzzle, the explanations, and some new evidence, Journal of Business and Economic Studies 11(1), 34–49; Gemmill, G., Thomas, D.C., 2002. Noise trading, costly arbitrage, and asset prices: Evidence from closed end funds. Journal of Finance 57(6), 2571–2594]. The model’s principal-agent problem effect is consistent with empirical findings by Brickley et al. [Brickley, James, Steven Manaster, Schallheim, James, 1991. The tax-timing option and the discounts on closed-end investment companies. Journal of Business 64, 287–312] of positive relation between the fund discount and the average variance of the constituent assets in the fund portfolio. In addition, it provides a theoretical framework for empirical studies, which examine the role of agency costs [Barclay, Michael J., Clifford G. Holderness, Jeffrey Pontiff, 1993. Private benefits from block ownership and discounts on closed-end funds. Journal of Financial Economics 33, 263–291] and compensation contracts [Coles, J., Suay, J., Woodbury, D., 2000. Fund advisor compensation in closed-end funds. Journal of Finance 55 (3), 1385–1414; Deli, Daniel N., 2002. Mutual fund advisory contracts: An empirical Investigation. Journal of Finance 57(1), 109–133] on the behavior of fund managers and fund discounts. The model’s diversification benefit effect supports the result in [Bonser-Neal C., Brauer,G., Neal, R.., Wheatley, S., 1990. International investment restrictions and closed-end country fund prices. Journal of Finance 45, 523–547] that announcement of financial market liberalization is associated with a decrease in the fund premium. It also supports the findings of [Kumar, R., Noronha, G.M., 1992. A re-examination of the relationship between closed-end fund discounts and expenses. Journal of Financial Research 15(2) Summer, 139–147; Chay, J.B., Trzcinka, Charles A., 1999. Managerial performance and the cross-sectional pricing of closed-end funds. Journal of Financial Economics 52, 379–408] of a positive relation between current premium and the risk-adjusted return over the following year.     

On computing mean returns and the small firm premium

The mean return computational method has a substantial effect on the estimated small firm premium. The buy-and-hold method, which best mimics actual investment experience, produces an estimated small-firm premium only one-half as large as the arithmetic and re-balanced methods which are often used in empirical studies. Similar biases can be expected in mean returns when securities are classified by any variable related to trading volume.     

The second moment matters! Cross-sectional dispersion of firm valuations and expected returns

Behavioral theories predict that firm valuation dispersion in the cross-section (“dispersion”) measures aggregate overpricing caused by investor overconfidence and should be negatively related to expected aggregate returns. This paper develops and tests these hypotheses. Consistent with the model predictions, I find that measures of dispersion are positively related to aggregate valuations, trading volume, idiosyncratic volatility, past market returns, and current and future investor sentiment indexes. Dispersion is a strong negative predictor of subsequent short- and long-term market excess returns. Market beta is positively related to stock returns when the beginning-of-period dispersion is low and this relationship reverses when initial dispersion is high. A simple forecast model based on dispersion significantly outperforms a naive model based on historical equity premium in out-of-sample tests and the predictability is stronger in economic downturns.     

Dividend policy,signaling, and discounts on closed-end funds

We test the predictions of dividend signaling models using closed-end equity funds that adopt explicit policies committing them to pay minimum dividend yields. These policies represent deliberate attempts to reduce share price undervaluation relative to NAV. Funds that adopt minimum dividend policies experience reductions in their share price discounts, trade at smaller discounts than other funds, earn greater excess returns following policy adoption, and their managers survive longer than other managers do. The results are broadly consistent with the predictions of dividend signaling models, and suggest that high quality closed-end funds can reduce undervaluation via dividend policy.     

Output and expected returns

This paper shows for 1929–2003 U.S. data and also for international G-7 data that the ratio of share prices to GDP tracks a large fraction of the variation over time in expected returns on the aggregate stock market, capturing more of that variation than do price–earnings and price–dividend ratios and often also providing additional information about excess returns. The price–output ratio tracks long-term U.S. cumulative stock returns almost as well as the cay-ratio of Lettau and Ludvigson [2001a. Journal of Finance 56, 815–849, 2005. Journal of Financial Economics 76, 583–626], although the cay-ratio tracks variation in U.S. excess returns better. The price–output ratio, however, involves no parameter estimation and is easily constructed for non-U.S. countries.     

Learning about beta: Time-varying factor loadings, expected returns, and the conditional CAPM

We amend the conditional CAPM to allow for unobservable long-run changes in risk factor loadings. In this environment, investors rationally “learn” the long-run level of factor loadings from the observation of realized returns. As a consequence of this assumption, we model conditional betas using the Kalman filter. Because of its focus on low-frequency variation in betas, our approach circumvents recent criticisms of the conditional CAPM. When tested on portfolios sorted by size and book-to-market, our learning-augmented conditional CAPM passes the specification tests.     

Risk characteristics of closed-end stock fund IPOs

We examine 34 closed-end stock fund initial public offerings (IPOs) during the period of January 1, 1986, through June 30, 1987. We find that the funds have low systematic risk during their first trading months, especially the initial month. We also observe that the funds' beta risk tends to increase as the funds season in aftermarket trading. This pattern is in sharp contrast to new issues by nonfinancial corporations, which have very high initial betas that decline over time.     

Time-varying expected momentum profits

This paper examines the time variations of expected momentum profits using a two-state Markov switching model with time-varying transition probabilities to evaluate the empirical relevance of recent rational theories of momentum profits. We find that in the expansion state the expected returns of winner stocks are more affected by aggregate economic conditions than those of loser stocks, while in the recession state the expected returns of loser stocks are more affected than those of winner stocks. Consequently, expected momentum profits display strong procyclical variations. We argue that the observed momentum profits are the realization of such expected returns and can be interpreted as the procyclicality premium. We provide a plausible explanation for time-varying momentum profits through the differential effect of leverage and growth options across business cycles.     

A contingent claim analysis of closed-end fund premia

We estimate contingent claims that replicate monthly net asset value (NAV) payoffs from closed-end funds. A claim's theoretical value is obtained by martingale pricing methods. The resulting net present value (NPVS) sequence is the theoretical premia sequence that is compared to the actual market premia sequence. The theoretical premia, like actual premia, are uncorrelated with NAV returns and are positively autocorrelated due to autocorrelation in the pricing information. However, there is poor correspondence between the theoretical and actual premia that seems due to the market's systematic errors in estimating a fund's management value. Risky arbitrage may be available to insiders.     

Return dispersion and expected returns

This paper proposes a two-factor asset-pricing model that incorporates market return and return dispersion. Consistent with this model, we find that stocks with higher sensitivities to return dispersion have higher average returns, and that return dispersion carries a significant positive price of risk. In particular, the return dispersion factor dominates the book-to-market factor in explaining cross-sectional expected returns. The return dispersion model outperforms the CAPM, MVM, IVM, and FF-3M when using a set of 5×5 test portfolios constructed from NYSE and AMEX stock returns from August 1963 to December 2005. Return dispersion continues to play an important role in explaining the cross-sectional variation of expected returns, even when market volatility, idiosyncratic volatility, size, book-to-market factors, and a momentum factor are included. This study sheds some light on the ability of return dispersion to explain expected returns beyond the standard asset-pricing factors. Our finding suggests that return dispersion captures two dimensions of systematic risk: the business cycle and fundamental economic restructuring.     

Cross-sectional dispersion and expected returns

This study investigates whether the cross-sectional dispersion of stock returns, which reflects the aggregate level of idiosyncratic risk in the market, represents a priced state variable. We find that stocks with high sensitivities to dispersion offer low expected returns. Furthermore, a zero-cost spread portfolio that is long (short) in stocks with low (high) dispersion betas produces a statistically and economically significant return. Dispersion is associated with a significantly negative risk premium in the cross section (–1.32% per annum) which is distinct from premia commanded by alternative systematic factors. These results are robust to stock characteristics and market conditions.     

Time-varying correlation between stock market returns and real estate returns

Direct investment in commercial or residential real estate is found to provide valuable diversification benefits for Australian investors though this is not so evident for indirect real estate investment vehicles like listed Australian real estate investment trusts (A-REIT). Further, multivariate analysis of Australian real estate and share market quarterly returns, spanning the period from the 3rd quarter 1986 to the 3rd quarter 2009, suggest that the correlation between real estate returns and share market returns is time-varying. Finally, while all of the asset class correlation coefficients increased with the Global Financial Crisis period this broad movement in asset class correlation is not evident in during the Wall Street Crash of 1987.     

Macroeconomic risk and hedge fund returns

This paper estimates hedge fund and mutual fund exposure to newly proposed measures of macroeconomic risk that are interpreted as measures of economic uncertainty. We find that the resulting uncertainty betas explain a significant proportion of the cross-sectional dispersion in hedge fund returns. However, the same is not true for mutual funds, for which there is no significant relationship. After controlling for a large set of fund characteristics and risk factors, the positive relation between uncertainty betas and future hedge fund returns remains economically and statistically significant. Hence, we argue that macroeconomic risk is a powerful determinant of cross-sectional differences in hedge fund returns.     

Technical indicators and cross-sectional expected returns

This study shows that 14 widely documented technical indicators explain cross-sectional stock returns. These indicators have lower estimation errors than the three-factor Fama–French and historical mean models. The long-short portfolios based on the cross-sectional technical signals generate substantial excess returns. These remain consistent after controlling for well-known cross-sectional return determinants, including momentum, size, book-to-market ratio, investment, and profitability. Our findings suggest that technical indicators play an important role in determining variation in cross-sectional returns.