Non-expected utility and the robustness of the classical insurance paradigm

This paper uses the tools and techniques of generalized expected utility analysis to explore the robustness of some of the classical basic results in insurance theory to departures from the expected utility hypothesis on agents' risk preferences. The areas explored consist of individual demand for coinsurance and deductible insurance, the structure of Pareto-efficient bilateral insurance contracts, the structure of Pareto-efficient multilateral risk-sharing agreements, and self-insurance and self-protection. Most, though not all, of the basic results in this area are found to be quite robust to dropping the expected utility hypothesis.     

Pricing mortgage-backed securities in a multifactor interest rate environment: a multivariate density estimation approach

Multivariate density estimation (MDE) suggests that mortgage-backedsecurity (MBS) prices can be well described as a function ofthe level and slope of the term structure. We analyze how thisfunction varies across MBSs with different coupons. An importantfinding is that the interest rate level proxies for the moneynessof the option, the expected level of prepayments, and the averagelife of the cash flows, while the term structure slope controlsfor the average rate at which these cash flows should be discounted.     

THE DESIGN OF MULTI-YEAR STOCK OPTION PLANS

Despite the explosion in the corporate use of stock options, the incentives created by stock options are not well understood by either the boards who grant them or the executives who are meant to be motivated by them. A major source of confusion stems from the corporate practice of using multi-year stock option plans. Such multi-year grants create subtle, potentially important links between current performance and future grants that can significantly dilute incentives for better performance.
For example, so-called fixed value plans provide very weak, even perverse, incentives ex ante since the value of future option grants is completely insulated from current performance. Under such plans, an executive's reward for superior performance is to receive fewer options, and to receive more options for substandard performance. In contrast, the fixed number plan creates an intrinsic link between changes in this year's stock price and changes in the value of future option grants.
The author also reports the findings of new empirical research that shows that stock option plans, taken as a whole, have a pay-to-performance correlation that is eight times stronger than that of salary and bonus. But, consistent with the analysis above, fixed value option plans have pay-to-performance that is only six times that of salary and bonus, as compared to ten times for fixed number plans.     

Quadratic Hawkes processes for financial prices

We introduce and establish the main properties of QHawkes (‘Quadratic’ Hawkes) models. QHawkes models generalize the Hawkes price models introduced in Bacry and Muzy [Quant. Finance, 2014, 14(7), 1147–1166], by allowing feedback effects in the jump intensity that are linear and quadratic in past returns. Our model exhibits two main properties that we believe are crucial in the modelling and the understanding of the volatility process: first, the model is time-reversal asymmetric, similar to financial markets whose time evolution has a preferred direction. Second, it generates a multiplicative, fat-tailed volatility process, that we characterize in detail in the case of exponentially decaying kernels, and which is linked to Pearson diffusions in the continuous limit. Several other interesting properties of QHawkes processes are discussed, in particular the fact that they can generate long memory without necessarily being at the critical point. A non-parametric fit of the QHawkes model on NYSE stock data shows that the off-diagonal component of the quadratic kernel indeed has a structure that standard Hawkes models fail to reproduce. We provide numerical simulations of our calibrated QHawkes model which is indeed seen to reproduce, with only a small amount of quadratic non-linearity, the correct magnitude of fat-tails and time reversal asymmetry seen in empirical time series.     

Analysing the Institutional Logic of Late DRG Adopters

Abstract: This study investigates how institutional logics that are prevalent in an organizational field influence change in management accounting. More precisely, we examine the institutional logics of late DRG adopters through which organizations attempt to address the pressures imposed by the institutional field of health care. Specific attention is also paid to the way in which organizations operate at different institutional levels and what kinds of interrelationships exist between these levels. Such developments may at least partially explain why the implementation and adoption of DRG–based accounting systems in Finnish health care took almost twenty years.     

Potential performance and tests of portfolio efficiency

The potential performance of an asset set may be obtained by choosing the portfolio proportions to maximize the Sharpe (1966) performance measure. If a portfolio has a Sharpe measure equivalent to the potential performance of the underlying set of assets, then it is efficient. Multivariate statistical procedures for comparing potential performance and testing portfolio efficiency are developed and then evaluated using simulations. Two likelihood ratio statistics are then used to compare stock and bond indices against sets of 20 and 40 portfolios. The procedures are also compared to the Gibbons (1982) methodology for testing financial models.