Probability statements about future evolutions of financial and actuarial risks are expressed in terms of the ‘real-world' probability measure P, whereas in an arbitrage-free environment, the prices of these traded risks can be expressed in terms of an equivalent martingale measure Q. The...

In a world dominated by uncertainty, modeling and understanding the optimal behavior of agents is of the utmost importance. Many problems in economics, finance, and actuarial science naturally require decision makers to undertake choices in stochastic environments. Examples include optimal...

We model a risk-averse firm owner who wants to maximize the intertemporal expected utility of firm’s dividends. The optimal dynamic control problem is characterized by two stochastic state variables: the equity value, and profitability (ROA) of the _rm. According to the empirical evi-dence, we...

This paper evaluates the solvency of a portfolio of assets and liabilities of an insurer subject to both longevity and financial risks. Liabilities are evaluated at fair-value and, as a consequence, interest-rate risk can affect both the assets and the liabilities. Longevity risk is described...

This paper evaluates the solvency of a portfolio of assets and liabilities of an insurer subject to both longevity and financial risks. Liabilities are evaluated at fair-value and, as a consequence, interest-rate risk can affect both the assets and the liabilities. Longevity risk is described...

This paper develops a theory of corporate ownership and leverage of multi- ple firms under a tax-bankruptcy trade-off, allowing for internal bailouts. It then questions whether tax policy contributes to the default of the resulting complex or- ganization. Absent other taxes and non-financial...

The recent regulatory changes, together with the increasing awareness of the variety of sources of uncertainty that affect the activities of insurance and pension funds, have generated increasing attention towards insurance risk management theory and practice. Against this background, this...