We present a way to compute additive marginal contributions for the six capital measures forming the capital computation under the new Basel III market risk regime, commonly named “Fundamental Review of the Trading Book regime” (FRTB). Marginal contributions are most useful for the...

Presented is the formulation for determining the exact, expected growth-optimal fraction of equity to risk for all conditions, rather than merely the asymptotic growth-optimal fraction. The formulation presented represents the surface in the leverage space manifold, wherein the loci at the peak...

We formulate a distributionally robust optimization problem where the deviation of the alternative distribution is controlled by a φ-divergence penalty in the objective, and show that a large class of these problems are essentially equivalent to a mean-variance problem. We also show that while...

This note presents a simple model to measure the relative economic growth of economic systems. The model considers S-Shaped pattern of economic growth which represented with a linear model provides information on how an economic system growth in comparison with another one. In particular, this...

This paper provides an assessment of Euro area inflation dynamics based on the distribution dynamics approach. It is found that raw series and trends have converged, although the convergence process has not been constant over time. Inflation cycles still lack of synchronization over short time...

This paper studies cross-country patterns of economic growth from the viewpoint of income distribution dynamics. Such a perspective raises new empirical and theoretical issues in growth analysis: the profound empirical regularity is an "emerging twin peaks" in the cross-sectional distribution,...

Monotonic estimation for the survival probability of a loan in a risk-rated portfolio is based on the observation arising, for example, from loan pricing that a loan with a lower credit risk rating is more likely to survive than a loan with a higher credit risk rating, given the same additional...

We test the out-of-sample trading performance of model-free reinforcement learning (RL) agents and compare them with the performance of equally-weighted portfolios and traditional mean-variance (MV) optimization benchmarks. By dividing European and U.S. indices constituents into factor datasets,...

Credit scoring models predict a person's creditworthiness. Accurate and interpretable credit scoring models help maximize a financial institution's risk-adjusted return and hence are of considerable importance. Although the XGBoost is the state-of-art classifier for this task, its complexity...