We consider the design and estimation of quadratic term structure models. We start with a list of stylized facts on interest rates and interest rate derivatives, classified into three layers: (1) general statistical properties, (2) forecasting relations, and (3) conditional dynamics. We then...

In this article we implement the trinomial tree of the Hull-White model, which can be easily extended to allow different assumptions about the dynamics of the short rate process. We present the Mathematical algorithm for the extended Vasicek and the Black-Karasinski model. Whenever negative...

We present a geometric approach to discrete time multiperiod mean variance portfolio optimization that largely simplies the mathematical analysis and the economic interpretation of such model settings. We show that multiperiod mean variance optimal policies can be decomposed in an orthogonal set...

In this article we implement the well known Ho-Lee Model of the term structure of interest rates and describe the algorithm behind this model. After a brief discussion of interest rates and bonds we construct a binomial tree and show how to replicate any fixed income type security. This allows...

We identify and characterize a class of term structure models where bond yields are quadratic functions of the Markov process. We label this class as the 'quadratic class' and aim to lay a solid theoretical foundation for its future empirical application. We contribute to the literature in three...

The pricing kernel, or the state-price density, which relates future cash flows to today's price, is the fundamental building block of modern asset pricing theory. In abstract, the state-price density process can be regarded as a positive supermartingale, or, under some regularity conditions, a...

In a Lucas exchange economy with standard power utility, we study asset prices under learning and ambiguous information. In contrast with models featuring only learning or ambiguity, our model is successful in matching the equity premium, the interest rate, and the volatility of stock returns...

We introduce a new class of flexible and tractable matrix affine jump-diffusions (AJD) to model multivariate sources of financial risk. We first provide a complete transform analysis of this model class, which opens a range of new potential applications to, e.g., multivariate option pricing with...

Naively testing for accruals mispricing in 26 equity markets - one market at a time - we find statistical evidence of anomalous returns in some countries. However, some of these findings might well be spurious because of data snooping biases that arise when simultaneously testing several...

We develop a new goodness-of-fit test for validating the performance of probability forecasts. Our test statistic is particularly powerful under sparseness and dependence in the observed data. To build our test statistic, we start from a formal definition of calibrated forecasts, which we...