Semir Ben Ammar

Common Risk Factors of Infrastructure Investments

The risk of infrastructure investments is driven by unique factors that cannot be well described by standard asset class factor models. We thus create a nine-factor model based on infrastructure-specific risk exposure, i.e., market risk, size, value, momentum, cash flow volatility, leverage, investment growth, term risk, and default risk. We empirically test our model on a large dataset of U.S. infrastructure stocks in different subsectors (utility, telecommunication, and transportation) and over a long period of time (1983 to 2011). The new factor model is able to capture the variation of infrastructure returns better than the Fama/French three-factor, the Carhart four-factor or the extended Fung/Hsieh eight-factor models. Thus, our model helps to improve the evaluation of infrastructure funds and to better determine the cost of capital of infrastructure firms, something that is increasingly relevant in light of the growing need for privately financed infrastructure projects.

The Cross-Section of Expected Stock Returns in the Property/Liability Insurance Industry

We conduct a comprehensive asset pricing analysis for the U.S. property/liability insurance industry using monthly data from 1988 to 2015. We find that state-of-the-art models such as the Fama and French (2015) five-factor model cannot explain the returns of property/liability insurance stocks in a satisfactory way. We adapt the model proposed by Adrian et al. (2015) for financial institutions and define an insurance-specific five-factor asset pricing model (INS5), which can explain the cross-section of property/liability insurance-stock returns better than competing models. The priced factors are the market return, the book-to-market ratio, return on equity, short-term reversal, and the spread between the property/liability insurance sector and the market return.

Asset Pricing of Financial Institutions: The Cross-Section of Expected Stock Returns in the Property/Liability Insurance Industry

Insurance companies are important financial institutions exposed to natural and man-made disasters. We conduct a comprehensive examination of existing asset pricing models in the US insurance universe (1988-2013) and propose an insurance-specific asset pricing model. We find that extant asset pricing models fail to explain the cross-section of insurance stock returns. Instead, we provide evidence that the factors of the insurance-specific model (book-to-market ratio, short-term reversal, illiquidity, and cashflow volatility) are priced in the cross-section of property/liability insurance stocks. Our model takes into account both insurance-specific anomalies primarily related to the insurance business cycle and externalities imposed by catastrophe risk.