Turning local: Home-bias dynamics of relocating foreigners

Using comprehensive data from Denmark, we study private investors’ preferences for domestic stocks. We compare the equity home bias of foreigners recently relocated to Denmark to the equity home bias of other investors. We find that home bias of recently relocated foreigners is lower than home bias of other investors. Our main result is that when relocated foreigners’ duration of stay increases, their home bias also increases. After 7–8 years, home bias of relocated foreigners does not differ from home bias of other investors. Our results imply that familiarity with domestic stocks develops dynamically with the length of stay in a given country. We discuss implications for explanations of the home-bias puzzle building on information asymmetries.     

A return-based approach to identify home bias of European equity funds

This paper introduces a return-based approach to studying a possible home bias of European equity funds by estimating their exposures to their domestic markets. We first confirm the robustness of our approach using simulated portfolios with different proportions of domestic and foreign stocks. The empirical analysis examines equity funds domiciled in 15 European countries that invest in European stocks. We examine individual funds as well as portfolios comprising funds that are all domiciled in a particular country. Our findings reveal that the portfolios of four domiciles show a significant home bias. Moreover, we observe that in seven domiciles more than a quarter of the individual funds are home-biased. These results are robust when controlling for fund-specific benchmarks or for the average country exposures of all funds in our final sample. Finally, a home bias of individual funds is not related to superior performance, but actually results in higher investment risk consistent with underdiversification.     

A computing bias in estimating the probability of informed trading

This study identifies a factor that leads to a bias in estimating the probability of informed trading (PIN), a widely-used microstructure measure. It is shown that, along with the numerical maximization of the likelihood function for PIN, the floating-point exception (i.e., overflow or underflow) may eliminate feasible solutions to the actual parameters in the optimization problem. Approximately 44% of PIN estimates for recent stock market data may have been subject to a downward bias that is more pronounced for active stocks than for inactive stocks. This study develops a remedy to mitigate the resulting bias.     

Removing biases in computed returns

This paper presents a straightforward method for asymptotically removing the well-known upward bias in observed returns of equally-weighted portfolios. Our method removes all of the bias due to any random transient errors such as bid-ask bounce and allows for the estimation of short horizon returns. We apply our method to the CRSP equally-weighted monthly return indexes for the NYSE, Amex, and NASDAQ and show that the bias is cumulative. In particular, a NASDAQ index (with a base of 100 in 1973) grows to the level of 17,975 by 2006, but nearly half of the increase is due to cumulative bias. We also conduct a simulation in which we simulate true prices and set spreads according to a discrete pricing grid. True prices are then not necessarily at the midpoint of the spread. In the simulation we compare our method to calculating returns based on observed closing quote midpoints and find that the returns from our method are statistically indistinguishable from the (simulated) true returns. While the mid-quote method results in an improvement over using closing transaction prices, it still results in a statistically significant amount of upward bias. We demonstrate that applying our methodology results in a reversal of the relative performance of NASDAQ stocks versus NYSE stocks over a 25 year window.     

The world price of home bias

Theoretical arguments suggest that as the degree of a country's home bias increases, the global risk sharing between domestic and foreign investors will reduce and thereby increase the country's cost of capital. Consistent with this prediction, we find international differences in the cost of capital to be strongly and positively related to varying degrees of home bias for 38 markets. This finding is robust to different cost of capital proxies, different control variables, alternative home-bias measures, international tradability of stocks, and alternative specifications. Therefore, the overall evidence implies that countries may enjoy a significantly lower cost of capital by reducing the extent of their home bias and hence, increasing global risk sharing.     

Why is timing perverse?

The existence of negative market timing, even for passive portfolios, poses a relevant puzzle when assessing portfolio management. In this paper, we develop a simple theoretical model so as to explain why such perverse market timing might occur and why those stocks with the lowest beta in upward markets exhibit pronounced negative timing. Our explanation is based on the existence of higher correlations of stocks in down markets than in up markets. We find that changes in beta, which drives timing, has four components; however, just two of these, mean covariance shift and covariances dispersion map, serve to explain the asymmetric behavior across stocks. We find that a high percentage of the negative market timing ability identified for mutual funds in the literature could be explained by this bias.     

The Performance of Local versus Foreign Mutual Fund Managers

In this paper we examine the performance of US equity funds (locals) versus UK equity funds (foreigners) also investing in the US equity market. Based on informational disadvantages one would expect the UK funds to under‐perform the US funds, especially in the research‐intensive small company market. After controlling for tax treatment, fund objectives, investment style and time‐variation in betas, we do not find evidence for this. In the small company segment we even find a slight out‐performance for UK funds compared to US funds. Finally we observe a home bias in the UK portfolios, which is partly attributable to UK funds investing in cross‐listed stocks in the USA.     

Is local bias a cross-border phenomenon? Evidence from individual investors’ international asset allocation

Extant literature consistently documents that investors tilt their domestic equity portfolios towards regionally close stocks (local bias). We hypothesize that individual investors’ local bias is not limited to the domestic sphere but instead also determines their international investment decisions. Our results confirm the presence of a cross-border local bias. Specifically, we show (i) that the stockholdings of individual investors living within regional proximity to a foreign country display a significantly lower foreign investment bias towards investment opportunities in that country and (ii) that this drop in foreign investment bias levels is disproportionately driven by investments in regionally close neighbor-country companies. The impact of cross-border local bias on investors’ bilateral foreign equity investments is economically significant and holds even after controlling for previously identified explanations of international asset allocation.     

My global fund portfolio is not yours: the effect of home bias on European- and US-managed convertible bond fund exposures

This paper shows that global convertible bond funds (CBFs) and their resulting equity-bond exposures are regionally biased. Global bond fund managers display home bias, resulting in CBFs that are not only tilted towards the home market but also reflect the different bond-equity exposures of European and US convertibles. More specifically we find that global funds managed by a European asset management firm are more bond-like than global funds managed by a US-based asset manager. Hence, investors have to account for the asset management company's origin to avoid that the performance of the fund and its correlation with other assets is not in line with investor's ex ante expectations about globally managed portfolios. Our results also indicate that for investors of European-based CBFs this home bias has resulted in an ex post opportunity cost up to 1.38% per year, depending on the sample period.     

What is the Economic Cost of the Investment Home Bias?

Overinvesting domestically is well known as an investment home bias (IHB). We define an economic home bias (EHB), whereby the IHB measures the investment weights and the EHB measures the economic cost induced by the IHB. We may have a large IHB and a negligible EHB. With the increase in the average correlation between foreign markets from 0.4 for the decade ending in 1988 to about 0.9 for more recent decades, the U.S. EHB is becoming negligible despite the domestic investment of 77.5%. Since 2009, the correlations have decreased, indicating that the HB puzzle is emerging once again.     

Robust Measures of Earnings Surprises

Event studies of market efficiency measure earnings surprises using the consensus error (CE), given as actual earnings minus the average professional forecast. If a subset of forecasts can be biased, the ideal but difficult to estimate parameter‐dependent alternative to CE is a nonlinear filter of individual errors that adjusts for bias. We show that CE is a poor parameter‐free approximation of this ideal measure. The fraction of misses on the same side (FOM), which discards the magnitude of misses, offers a far better approximation. FOM performs particularly well against CE in predicting the returns of U.S. stocks, where bias is potentially large.     

The Delisting Bias in CRSP's Nasdaq Data and Its Implications for the Size Effect

We investigate the bias in CRSP's Nasdaq data due to missing returns for delisted stocks. We find that the missing returns are large and negative on average, and that delisted stocks experience a substantial decrease in liquidity. We estimate that using a corrected return of −55 percent for missing performance-related delisting returns corrects the bias. We revisit previous work which finds a size effect among Nasdaq stocks. After correcting for the delisting bias, there is no evidence that there ever was a size effect on Nasdaq. Our results are inconsistent with most risk-based explanations of the size effect.     

Conflict of interest and the credibility of underwriter analyst recommendations

Brokerage analysts frequently comment on and sometimes recommendcompanies that their firms have recently taken public. We showthat stocks that underwriter analysts recommend perform morepoorly than 'buy' recommendations by unaffiliated brokers priorto, at the time of, and subsequent to the recommendation date.We conclude that the recommendations by underwriter analystsshow significant evidence of bias. We show also that the marketdoes not recognize the full extent of this bias. The resultssuggest a potential conflict of interest inherent in the differentfunctions that investment bankers perform.     

Has local informational advantage disappeared?

This study examines how changes in the information environment affect the informational advantage of geographically proximate agents. The long‐term advantage of local agents disappeared at the turn of the millennium. This is accompanied by the reduction in local bias of institutional investors and equity analysts. However, institutional investors continue to trade local stocks disproportionately more often than non‐local stocks; moreover, their local trades outperform non‐local trades in the short term—even for large and liquid stocks. Our results are consistent with improvements in the information environment shortening the horizon of proximity‐based informational advantage.     

Real effects of financial market integration: does lower home bias lead to welfare benefits?

This paper proposes equity home bias as a proxy for financial integration in the ongoing empirical debate on the impact of financial integration on economic growth. In integrated markets, investors are expected to take full advantage of the potential for international diversification. The extent of equity home bias (i.e. overinvesting in domestic stocks and foregoing gains from international diversification) provides a relevant quantity-based measure of financial integration. Using different techniques to compute home bias, this paper investigates whether countries with lower home bias experience faster economic growth. Additionally, the analysis extends to the link between (decreasing) home bias and international risk sharing and income inequality. The results suggest that financial integration, proxied by the decreasing equity home bias, is positively associated with economic growth and international risk sharing. At the same time, it appears that higher financial integration pairs with higher income inequality.     

THE CHOICE OF TRADING VENUE AND RELATIVE PRICE IMPACT OF INSTITUTIONAL TRADING: ADRs VERSUS THE UNDERLYING SECURITIES IN THEIR LOCAL MARKETS

We address two important themes associated with institutions’ trading in foreign markets: (1) the choice of trading venues (between a company's listing in its home market and that in the United States as an American Depositary Receipt [ADR]) and (2) the comparison of trading costs across the two venues. We identify institutional trading in both venues using proprietary institutional trading data. Overall, our research underscores the intuition that the choice of institutional trading in a stock's local market or as an ADR is a complex process that embodies variables that measure the relative adverse selection and liquidity at order, stock, and country levels. Institutions route a higher percentage of trades to more liquid markets, and these trades are associated with higher cumulative abnormal returns. We also find that institutional trading costs are generally lower for trading cross‐listed stocks on home exchanges even after controlling for selection bias.     

The immediate price impact of trades on the Australian Stock Exchange

We study the immediate price impact of a single trade executed in the Australian Stock Exchange (ASX). By ordering the top 300 stocks on the ASX in order of their free float market capitalization, a clear pattern emerges, with higher cap stocks experiencing lower price impact than lower cap stocks for the same traded volume. We investigate this relationship in detail, and show that the price impact and liquidity scale as a power of the market capitalization. This relationship is used to obtain a single market impact curve which shows average price shift as a function of volume traded. We obtain similar results for every year from 2001 to 2004.     

Home Bias, Foreign Mutual Fund Holdings, and the Voluntary Adoption of International Accounting Standards

We test the assertion that a consequence of voluntarily adopting International Accounting Standards (IAS) is the enhanced ability to attract foreign capital. Using a unique database that reports firm‐level holdings of over 25,000 mutual funds from around the world, our multivariate tests find that average foreign mutual fund ownership is significantly higher among IAS adopters. We also find that IAS adopters in poorer information environments and with lower visibility have higher levels of foreign investment, consistent with firms using IAS adoption to provide more information and/or information in a more familiar form to foreign investors. Taken together, our findings are consistent with voluntary IAS adoption reducing home bias among foreign investors and thereby improving capital allocation efficiency.     

A model of biased intermediation

We study situations in which consumers rely on a biased intermediary's advice when choosing among sellers. We introduce the notion that sellers' and consumers' payoffs can be congruent or conflicting, and show that this has important implications for the effects of bias. Under congruence, the firm benefiting from bias has an incentive to offer a better deal than its rival and consumers can be better‐off than under no bias. Under conflict, the favored firm offers lower utility, and bias harms consumers. We study various policies for dealing with bias and show that their efficacy also depends on whether the payoffs exhibit congruence or conflict.     

Home-field advantage or a matter of ambiguity aversion? Local bias among German individual investors

This paper investigates whether familiarity induced by ambiguity aversion can help explaining the local bias phenomenon among individual investors. Using geographic closeness as a proxy for investor familiarity, we find that investors pull out of (unfamiliar) remote stocks and pour into (familiar) local stocks during times of increased market uncertainty. Moreover, the magnitude of this ‘flight to familiarity’ increases in the spread of an investor's ambiguity (about expected returns) between local and remote stocks. Our results prove robust to a number of alternative explanations of local bias. Specifically, we rule out a ‘home-field advantage’, where investors are able to translate information advantages about nearby companies into excess returns on their local stockholdings. We conclude that individual investors’ local bias is induced by ambiguity aversion in the portfolio selection process rather than a trading strategy based on superior information about local companies.