Are Household Portfolios Efficient? An Analysis Conditional on Housing

Standard tests of portfolio efficiency neglect the existence of illiquid wealth. The most important illiquid asset in household portfolios is housing: if housing stock adjustments are infrequent, optimal portfolios in periods of no adjustment are affected by housing price risk through a hedge term and tests for portfolio efficiency of financial assets must be run conditionally upon housing wealth. We use Italian household portfolio data and time series on financial assets and housing stock returns to assess whether actual portfolios are efficient. We find that housing wealth plays a key role in determining whether portfolios chosen by home-owners are efficient.Housing and portfolio choice, Portfolio efficiency.

Pillar 1 vs. Pillar 2 Under Risk Management

Under the New Basel Accord bank capital adequacy rules (Pillar 1) are substantially revised but the introduction of two new "Pillars" is, perhaps, of even greater significance. This paper focuses on Pillar 2 which expands the range of instruments available to the regulator when intervening with banks that are capital inadequate and investigates the complementarity between Pillar 1 (risk-based capital requirements) and Pillar 2. In particular, the paper focuses on the role of closure rules when recapitalization is costly. In the model banks are able to manage their portfolios dynamically and their decisions on recapitalization and capital structure are determined endogenously. A feature of our approach is to consider the costs as well as the benefits of capital regulation and to accommodate the behavioral response of banks in terms of their portfolio strategy and capital structure. The paper argues that problems of capital adequacy are minor unless, in at least some states of the world, banks are able to violate the capital adequacy rules. The paper shows how the role of Pillar 2 depends on the effectiveness of capital regulation, i.e., the extent to which banks can "cheat".

Efficient Portfolios when Housing Needs Change over the Life-Cycle

We address the issue of the efficiency of household portfolios in the presence of housing risk. We treat housing stock as an asset and rents as a stochastic liability stream: over the life-cycle, households can be short or long in their net housing position. Efficient financial portfolios are the sum of a standard Markowitz portfolio and a housing risk hedge term that multiplies net housing wealth. Our empirical results show that net housing plays a key role in determining which household portfolios are inefficient. The largest proportion of inefficient portfolios obtains among those with positive net housing, who should invest more in stocks.Housing and portfolio choice, Portfolio efficiency, Rental risk, Life-cycle.

Diversification and Ownership Concentration

In a mean-variance economy where controlling shareholders can divert profits, equity ownership is more concentrated the higher the stock returns correlation. A higher returns correlation reduces the benefits of diversification, giving rise to both a higher investment by the controlling shareholder in the asset that he controls and a lower investment by the non-controlling shareholders. The empirical analysis supports the predictions of the model. In particular, controlling for measures of the quality of investor protection, and other structural variables, we find that equity ownership is significantly more concentrated in countries where the stock returns correlation is higher. Moreover the intensity of the relationship between the stock returns correlation and ownership concentration is amplified by poor investor protection.Ownership concentration,Diversificationopportunities,Investor protection.

Diversification and Ownership Concentration

We consider a mean-variance general equilibrium economy where the expected returns for controlling and non-controlling shareholders are different because the former are able to divert a fraction of the profits. We find that when investor protection is poor, asset return correlation affects ownership structure in a positive way. Higher return correlation lowers the benefits of diversification which causes a higher investment by the controlling shareholder in his asset and a lower investment by the non-controlling shareholders. The empirical analysis supports the predictions of the model. In particular, controlling for measures of the quality of the investor protection, the legal origin of the countries, and other structural variables as in a previous study by La Porta et al. (1998) we find that equity ownership is significantly more concentrated in countries where stock return correlation is higher, and that the magnitude of this effect is larger in countries where investor protection is poorer.corporate governance, investor protection, private benefits, diversification opportunities

Crisis and Hedge Fund Risk

We study the effect of financial crises on hedge fund risk. Using a regime-switching beta model, we separate systematic and idiosyncratic components of hedge fund exposure. The systematic exposure to various risk factors is conditional on market volatility conditions. We find that in the high-volatility regime (when the market is rolling-down and is likely to be in a crisis state) most strategies are negatively and significantly exposed to the Large-Small and Credit Spread risk factors. This suggests that liquidity risk and credit risk are potentially common factors for different hedge fund strategies in the down-state of the market, when volatility is high and returns are very low. We further explore the possibility that all hedge fund strategies exhibit a high volatility regime of the idiosyncratic risk, which could be attributed to contagion among hedge fund strategies. In our sample this event happened only during the Long-Term Capital Management (LTCM) crisis of 1998. Other crises including the recent subprime mortgage crisis affected hedge funds only through systematic risk factors, and did not cause contagion among hedge funds.Hedge Fund, Risk Management, High frequency data

Italian Equity Funds: Efficiency and Performance Persistence

Have Italian mutual funds been able to generate “extra-return”? Were some of them able to persistently beat the competitors? In this paper we address these questions and provide a detailed and systematic performance and return persistence analysis of the Italian equity mutual funds. We show that, in general, fund managers have not been able to score extra-performances and only few managers had stock picking ability or market timing ability. This evidence is consistent with the market efficiency hypothesis. Moreover, concerning performance persistence, first, we cannot trace out the hot-hand phenomenon on raw returns. The no persistence effect is fairly robust to: the performance measure, the temporal lag and the different methodology employed for testing persistence. Second, there has not been long-run persistence on risk-adjusted returns (we find a weak evidence of the reversal effect). Finally, the past performance displays weak evidence of the hot-hand effect on risk-adjusted returns on four-month using cross-section tests. However, as soon as we analyse yearly intervals any evidence of persistence disappears.Mutual funds, Performance evaluation

Non-Parametric Analysis of Hedge Fund Returns: New Insights from High Frequency Data

This paper examines four different daily datasets of hedge fund return indexes: MSCI, FTSE, Dow Jones and HFRX, all based on investable hedge funds, and three different monthly datasets of hedge fund return indexes: CSFB, CISDM and HFR which comprise both investable and non-investable hedge funds. Our study, based on standard statistical analysis, non-parametric analysis of the distribution and non-parametric regressions with respect to the S&P500 index shows that key data biases and disparate index construction methodologies lead to different statistical properties of hedge fund databases. One key variable that highly affects the statistical properties of hedge fund index returns is the “investability” of hedge fundsHedge Fund, Risk Management, High frequency data

Phase-Locking and Switching Volatility in Hedge Funds

This article aims to investigate the phase-locking and switching volatility in the idiosyncratic risk factor of hedge funds using switching regime beta models. This approach allows the analysis of hedge fund tail event behavior and in particular the changes in hedge fund exposure to various risk factors potentially related to liquidity risk, conditional on different states of the market. We and that in a normal state of the market, the exposure to risk factors could be very low but as soon as the market risk factor captured by the S&P500 moves to a down-market state characterized by negative returns and high volatility, the exposure of hedge fund indexes to the S&P500 and especially to other risk factors changes signi?cantly presenting evidence of phase-locking. We further extend the regime switching model to allow for non-linearity in residuals and show that switching regime models are able to capture and forecast the evolution of the idiosyncratic risk factor in terms of changes from a low volatility regime to a distressed state that are not directly related to market risk factors.Hedge Funds; Risk Management; Regime-Switching Models, Liquidity