Abstract:The present study investigates the stock characteristic preferences of institutional Australian equity managers. In aggregate we find that active managers exhibit preferences for stocks exhibiting high-price variance, large market capitalization, low transaction costs, value-oriented characteristics, greater levels of analyst coverage and lower variability in analyst earnings forecasts. We observe stronger preferences for higher volatility, value stocks and wider analyst coverage among smaller stocks. We also … Show more
“…, 1989; Bennett et al. , 2003; Pinnuck, 2004; Brands et al. , 2006) could also take into account idiosyncratic volatility.…”
Section: Discussionmentioning
confidence: 99%
“…, 1989) and Australia (Pinnuck, 2004) find that institutional investors exhibit a preference for securities with low volatility, although more recent studies by Bennett et al. (2003) for the US and Brands et al. (2006) for Australia indicate a shift in preference among institutional investors for stocks with high volatility.…”
We examine the role of idiosyncratic risk in five ASEAN markets of Malaysia, Singapore, Thailand, Indonesia, and the Philippines. Our research was motivated by the findings of Ang et al. (2006Ang et al. ( , 2009) of a 'puzzling' negative relation between idiosyncratic volatility and 1-month ahead stock returns in developed markets and the suggestion of the ubiquity of these results in other markets. In contrast, we find no evidence of an idiosyncratic volatility puzzle in these Asian stock markets; instead, we document a positive relationship between idiosyncratic volatility and returns in Malaysia, Singapore, Thailand, and Indonesia and no relationship in the Philippines. The idiosyncratic volatility trading strategy could result in significant trading profits in Malaysia, Singapore, Thailand, and to some extent in Indonesia. Our study underscores the fact that generalizing empirical results obtained in developed stock markets to new and emerging markets could potentially be misleading.
“…, 1989; Bennett et al. , 2003; Pinnuck, 2004; Brands et al. , 2006) could also take into account idiosyncratic volatility.…”
Section: Discussionmentioning
confidence: 99%
“…, 1989) and Australia (Pinnuck, 2004) find that institutional investors exhibit a preference for securities with low volatility, although more recent studies by Bennett et al. (2003) for the US and Brands et al. (2006) for Australia indicate a shift in preference among institutional investors for stocks with high volatility.…”
We examine the role of idiosyncratic risk in five ASEAN markets of Malaysia, Singapore, Thailand, Indonesia, and the Philippines. Our research was motivated by the findings of Ang et al. (2006Ang et al. ( , 2009) of a 'puzzling' negative relation between idiosyncratic volatility and 1-month ahead stock returns in developed markets and the suggestion of the ubiquity of these results in other markets. In contrast, we find no evidence of an idiosyncratic volatility puzzle in these Asian stock markets; instead, we document a positive relationship between idiosyncratic volatility and returns in Malaysia, Singapore, Thailand, and Indonesia and no relationship in the Philippines. The idiosyncratic volatility trading strategy could result in significant trading profits in Malaysia, Singapore, Thailand, and to some extent in Indonesia. Our study underscores the fact that generalizing empirical results obtained in developed stock markets to new and emerging markets could potentially be misleading.
“…Based on the size of the funds in terms of funds under management, the sample represents five of the top 10 Australian institutional fund managers, four ranked 11‐20, five ranked 21‐30 and the remainder are outside the largest 30 managers. A more detailed description of the database is available in Gallagher and Looi (2006) and Brands et al (2006). Comparison of the return on the funds in our sample and the broader population of investment funds provided by Mercer Investment Consulting showed that the two sets of returns were almost identical.…”
Section: Data and Sample Descriptionmentioning
confidence: 92%
“…These indices are constructed to provide an equity performance benchmark for fund managers investing on the Australian Securities Exchange (ASX). According to Brands et al (2006), 5% of the funds in the Portfolio Analytic Database are benchmarked to the S&P/ASX 100, 17% to the S&P/ASX 200 and 78% to the S&P/ASX 300. The study, therefore, uses the S&P/ASX 200 index and the S&P/ASX 300 index as benchmark market portfolios.…”
Shareholdings for a sample of institutional equity funds, operating under the Australian imputation tax system, show that dividend policy and fund holdings are related. Relative to market benchmarks and ownership levels across firms, institutional funds are overweight in stocks that pay dividends. Among dividend-paying stocks there is no simple preference for high dividend yields, probably because the highest dividend yields are not sustainable. Instead we find an inverted U relationship between institutional ownership and dividend yield. The tax hypothesis dominates the prudent-man hypothesis in explaining ownership by institutional clienteles. Institutional funds have a higher ownership in stocks which carry full imputation tax credits compared to stocks which have partial, or zero, imputation tax credits.
“…For example, Brands et al . () examine the role of GICS industry classifications in the design of a portfolio and document that GICS classification reflects better the industry composition of the ASX and has an important impact on the stockholdings of Australian institutional investment managers. The most recent study by Dou et al .…”
This paper examines market concentration and stock returns on the Australian Securities Exchange. We find that dominant companies operating in concentrated industries in Australia are able to generate significant risk-adjusted excess stock returns. Our results for Australian data are opposite to that found by Hou and Robinson (2006) for United States market data. Hou and Robinson reason that United States firms which operate in concentrated industries are insulated from competitive pressures, have lower levels of innovation (Arrow, 1962) and therefore experience lower profitability and stock returns. By contrast, the Australian data show a significant and positive relationship between concentration and innovation expenditure. Therefore, the excess stock returns of dominant companies in Australia are consistent with previous research linking innovation expenditure with excess stock returns. We hypothesize that the apparent contradiction of our results compared with Hou and Robinson (2006) for the United States market is resolved by an examination of the differences in size and competition in United States and Australian industries and the consequent differential ability of dominant companies in the two countries to generate monopoly rents and invest in 'Schumpeterian' (Schumpeter, 1942) innovation.
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