Arbitrage Free Price Bounds for Property Derivatives

Market frictions inhibit the perfect replication of property derivatives, and define the property spread as a price measure in the incomplete real estate market. We identify transaction costs, transaction time, and short sale constraints as the main frictions in this market. Based on these frictions, we set up a framework of arbitrage free price bounds for property derivatives. In turn, we use observed derivative prices to determine the implied cost of the frictions. Lastly, we verify these values by using other research, which confirms the accuracy of our framework.     

Relative accuracy of analysts’ earnings forecasts over time: a Markov chain analysis

The main purpose of this paper is to analyze the time patterns of individual analysts’ relative accuracy ranking in earnings forecasts using a Markov chain model. Two levels of stochastic persistence are found in analysts’ relative accuracy over time. Factors underlying analysts’ performance persistence are identified and they include analyst’s length of experience, workload, and the size and growth rate of firms followed by the analyst. The strength and the composition of these factors are found to vary markedly in different industries. The findings support the general notion that analysts are heterogeneous in their accuracy in earnings forecasts and that their superior/inferior performance tends to persist over time. An analysis based on a refined measure of analysts’ forecast accuracy ranking that strips off firm-specific factors further enhances the empirical validity of the findings. These findings provide a concrete basis for researchers to further explore why and how analysts perform differently in the competitive market of investment information services.     

Borrowing constraints,the cost of precautionary saving and unemployment insurance

When it is costly for individuals to save or to borrow, unemployment insurance (UI) provides an alternative source of liquidity that smooths consumption over time and leads individuals to spend longer unemployed searching for a suitable job. We show in a tractable life-cycle model how the optimal unemployment replacement ratio and the fall in consumption on job loss depend on the cost of self-insurance and the cost of borrowing. This implies that the value of UI depends on age at job loss, consumption needs (such as the presence of children), discount rates, the return on saving, access to credit and the presence of other social insurance programmes. Optimal replacement rates vary substantially with plausible variation in these factors (from less than 20 percent to almost 60 percent).     

Proving regularity of the minimal probability of ruin via a game of stopping and control

We reveal an interesting convex duality relationship between two problems: (a) minimizing the probability of lifetime ruin when the rate of consumption is stochastic and the individual can invest in a Black–Scholes financial market; (b) a controller-and-stopper problem, in which the controller controls the drift and volatility of a process in order to maximize a running reward based on that process, and the stopper chooses the time to stop the running reward and pays the controller a final amount at that time. Our primary goal is to show that the minimal probability of ruin, whose stochastic representation does not have a classical form as does the utility maximization problem (i.e., the objective’s dependence on the initial values of the state variables is implicit), is the unique classical solution of its Hamilton–Jacobi–Bellman (HJB) equation, which is a non-linear boundary-value problem. We establish our goal by exploiting the convex duality relationship between (a) and (b).     

Do financial variables help predict the state of the business cycle in small open economies? Evidence from Switzerland

We analyze the forecasting ability of financial variables to predict the state of the Swiss business cycle up to eight quarters ahead. Overall, our results suggest that financial variables convey leading information for the prediction of business cycles, even when applied to a small open economy. However, we clearly find that model specifications need to be extended to include variables accounting for external shocks, such as exchange rates or international commodity prices. It also appears that the forecasting contribution of individual variables changes over time. Specifically, in the last two decades, stock market liquidity has replaced the term spread as the best single predictor.     

Analyst forecast characteristics and the cost of debt

We examine the relation between analyst forecast characteristics and the cost of debt financing. Consistent with the view that the information contained in analysts’ forecasts is economically significant across asset classes, we find that analyst activity reduces bond yield spreads. We also find that the economic impact of analysts is most pronounced when uncertainty about firm value is highest (that is, when firms have high idiosyncratic risk). Our findings are robust to controls for private information in equity prices and level of corporate disclosures. Overall, the results indicate that the information contained in analyst forecasts is valued outside the equity market and provide an additional channel in which better information is associated with a lower cost of capital.     

A Note on Utility Maximization with Unbounded Random Endowment

This paper addresses the applicability of the convex duality method for utility maximization, in the presence of random endowment. When the underlying price process is a locally bounded semimartingale, we show that the fundamental duality relation holds true, for a wide class of utility functions and unbounded random endowments. We show this duality by exploiting Rockafellar’s theorem on integral functionals, to a random utility function.     

Die Auswirkungen der Finanzkrise sowie von Solvency II auf <Emphasis Type=Italic>Insurance-linked Securities</Emphasis>

Der Beitrag stellt Insurance-linked Securities (“ILS”) als Instrument des alternativen Risikotransfers dar und grenzt ILS von anderen Instrumenten des alternativen Risikotransfers ab.     

The Optimal Choice for Lenders Facing Defaults: Short Sale,Foreclose, or REO

When mortgage borrowers default and have no desire or ability to keep their property, then loss mitigation involves a sale of the property via one of the following options: (1) the lender allows pre-foreclosure “short sale” by the borrower, (2) the lender institutes the foreclosure process under a notice of default and the property is sold during the process by the borrower, and (3) the lender forecloses on the property, takes title, and sells the property in the market as real estate owned (REO). Sale of the property in the above three options is conducted by a motivated seller, either the owner or the lender, who desires to sell the property as quickly as possible. Thus, relative to a no-default sale, the house is most likely to be sold at a discounted price. It is generally expected that the discount would be lower in the case of a “short sale.” This option, however, may result in a longer marketing time, thus a higher total loss, than the other two options. We developed a model that allows simultaneous estimation of price and time-on-market effects of “short sales,” foreclosures, and REO options. We find that the short-sale option has the lowest-price discount, but significantly higher costs associated with marketing time. The pattern of price discount and marketing time reverses as we move to a sale while in the process of foreclosure and to a sale with an REO status.