Paper: US mercado de viviendas, integración y contagio

Integration and Contagion in US Housing Markets

Abstract:

This paper explores integration and contagion among US metropolitan housing markets. The analysis applies Federal Housing Finance Agency (FHFA) house price repeat sales indexes from 384 metropolitan areas to estimate a multi-factor model of U.S. housing market integration. It then identifies statistical jumps in metropolitan house price returns as well as MSA contemporaneous and lagged jump correlations. Finally, the paper evaluates contagion in housing markets via parametric assessment of MSA house price spatial dynamics.

A R-squared measure reveals an upward trend in MSA housing market integration over the 2000s to approximately .83 in 2010. Among California MSAs, the trend was especially pronounced, as average integration increased from about .55 in 1997 to close to .95 in 2008! The 2000s bubble period similarly was characterized by elevated incidence of statistical jumps in housing returns. Again, jump incidence and MSA jump correlations were especially high in California. Analysis of contagion among California markets indicates that house price returns in San Francisco often led those of surrounding communities; in contrast, southern California MSA house price returns appeared to move largely in lock step.

The high levels of housing market integration evidenced in the analysis suggest limited investor opportunity to diversify away MSA-specific housing risk. Further, results suggest that macro and policy shocks propagate through a large number of MSA housing markets. Research findings are relevant to all market participants, including institutional investors in MBS as well as those who regulate housing, the housing GSEs, mortgage lenders, and related financial institutions.

Link al Paper.

Tabla du Jour: Sin palabras…

(Fuente: Bespoke Investment Group)

Paper: Equity Yields

Equity Yields

Abstract
We study a new data set of prices of traded dividends with maturities up to 10 years across three world regions: the US, Europe, and Japan. We use these asset prices to construct equity yields, analogous to bond yields. We decompose these yields to obtain a term structure of expected dividend growth rates and a term structure of risk premia, which allows us to decompose the equity risk premium by maturity. We find that both expected dividend growth rates and risk premia exhibit substantial variation over time, particularly for short maturities. In addition to predicting dividend growth, equity yields help predict other measures of economic growth such as consumption growth. We relate the dynamics of growth expectations to recent events such as the financial crisis and the earthquake in Japan.

Link al Paper

Paper: Diversificación, rebalanceo como soluciones…

Diversification Return, Portfolio Rebalancing, and the Commodity Return Puzzle

Diversification return is an incremental return earned by a rebalanced portfolio of assets. The diversification return of a rebalanced portfolio is often incorrectly ascribed to a reduction in variance. We argue that the underlying source of the diversification return is the rebalancing, which forces the investor to sell assets that have appreciated in relative value and buy assets that have declined in relative value, as measured by their weights in the portfolio. In contrast, the incremental return of a buy-and-hold portfolio is driven by the fact that the assets that perform the best become a greater fraction of the portfolio. We use these results to resolve two puzzles associated with the Gorton and Rouwenhorst index of commodity futures, and thereby obtain a clear understanding of the source of the return of that index. Diversification return can be a significant source of return for any rebalanced portfolio of volatile assets.

Link al Paper

Paper: Curtosis y predicción de retornos

Do Realized Skewness and Kurtosis Predict the Cross-Section of Equity Returns?

Abstract: 
Yes. We use intraday data to compute weekly realized variance, skewness and kurtosis for individual equities and assess whether this week’s realized moments predict next week’s stock returns in the cross-section. We sort stocks each week according to their past realized moments, form decile portfolios and analyze subsequent weekly returns. We find a very strong negative relationship between realized skewness and next week’s stock returns, and a positive relationship between realized kurtosis and next week’s stock returns. We do not find a strong relationship between realized volatility and stock returns. A trading strategy that buys stocks in the lowest realized skewness decile and sells stocks in the highest realized skewness decile generates an average weekly return of 43 basis points with a t-statistic of 8.91. A similar strategy that buys stocks with high realized kurtosis and sells stocks with low realized kurtosis produces a weekly return of 16 basis points with a t-statistic of 2.98. Our results are robust across sample periods, portfolio weightings, and proxies for firm characteristics, and they are not captured by the Fama-French and Carhart factors.

Link al Paper

Gráfico du Jour: Really Too Big To Fail (RTBTF)

(Fuente Fitch, via FT Alphaville)

 

Si el mundo no es normal, ¿Que es?

Esto ya es un abuso de redireccionamiento, pero Quantivity no para de producir buen contenido! El último post busca confortarnos frente a la siguiente pregunta:

if returns are not normal, then what distribution are they?

Siempre el premio esta al final: el codigo R.

Tabla du Jour: Retornos al 31 de marzo

(Fuente: CapitalSpectator.com)

Finanzas 101: Calculos con Retornos

Como siempre, cuando Quantivity hace un post vale mencionarlo. En esta ocación, y en rol educativo, responde una inquietud recurrente cuando uno comienza a estudiar finanzas:

Why use the logarithm of returns, rather than price or raw returns?

 

Gráfico du Jour: Así cerro el 2010

(Fuente: Finviz, via Infectious Greed)