Old-age Labor Force Participation in Germany: What Explains the Trend Reversal among Older Men? And What the Steady Increase among Women? -- by Axel Boersch-Supan, Irene Ferrari
Mr. MiFID on Financeâs Low-Fee Future
The Profit Motive Behind Financial Complexity
Pricing Derivatives under Multiple Stochastic Factors by Localized Radial Basis Function Methods. (arXiv:1711.09852v1 [q-fin.CP])
We propose two localized Radial Basis Function (RBF) methods, the Radial Basis Function Partition of Unity method (RBF-PUM) and the Radial Basis Function generated Finite Differences method (RBF-FD), for solving financial derivative pricing problems arising from market models with multiple stochastic factors. We demonstrate the useful features of the proposed methods, such as high accuracy, sparsity of the differentiation matrices, mesh-free nature and multi-dimensional extendability, and show how to apply these methods for solving time-dependent higher-dimensional PDEs in finance. We test these methods on several problems that incorporate stochastic asset, volatility, and interest rate dynamics by conducting numerical experiments. The results illustrate the capability of both methods to solve the problems to a sufficient accuracy within reasonable time. Both methods exhibit similar orders of convergence, which can be further improved by a more elaborate choice of the method parameters. Finally, we discuss the parallelization potentials of the proposed methods and report the speedup on the example of RBF-FD.
Option pricing for Informed Traders. (arXiv:1711.09445v1 [q-fin.MF])
In this paper we extend the theory of option pricing to take into account and explain the empirical evidence for asset prices such as non-Gaussian returns, long-range dependence, volatility clustering, non-Gaussian copula dependence, as well as theoretical issues such as asymmetric information and the presence of limited arbitrage opportunities
Option Pricing with Orthogonal Polynomial Expansions. (arXiv:1711.09193v1 [q-fin.MF])
We derive analytic series representations for European option prices in polynomial stochastic volatility models. This includes the Jacobi, Heston, Stein-Stein, and Hull-White models, for which we provide numerical case studies. We find that our polynomial option price series expansion performs as efficiently and accurately as the Fourier transform based method in the affine case.