Investors sometimes have strong convictions that a distinctive economic regime will prevail in the period ahead and therefore would like to form a portfolio that reflects the expected returns, standard deviations, and correlations of assets during such a regime. To do so, they typically isolate...

This paper uses the wavelet methodology to analyze the dynamics of inflation in Mexico at different frequencies over time. First, we analyze the monthly behavior of the headline, core, and noncore inflation from January 2007 to December 2018. Subsequently, the decomposition shows that the shocks...

This paper verified the predictive performance of probabilistic record linkage algorithms for the integration big sized real databases, evaluating the effects of the blocking key definition, as well as string metric functions and phonetic code pairing algorithms with respect to the prediction's...

The Bolivian monthly index of economic activity along with ARMA models are used in an attempt to graph and measure the impact of Covid's pandemic on the Bolivian economy. The accumulated difference between the observed and counterfactual values show an overall 12.6% loss of economic activity in...

Investors rely on the stock-bond correlation for a variety of tasks, such as forming optimal portfolios, designing hedging strategies, and assessing risk. Most investors estimate the stock-bond correlation simply by extrapolating the historical correlation of monthly returns and assume that this...

In this paper, we consider deterministic (both fluid and discrete) polling systems with N queues with infinite buffers and we show how to compute the best polling sequence (minimizing the average total workload). With two queues, the best polling sequence is always periodic when the system is...

This paper provides a new technique for representing discrete time nonlinear dynamic stochastic time invariant maps. Using this new series representation, the paper augments the usual solution strategy with an additional set of constraints thereby enhancing algorithm reliability. The paper also...

This paper provides an exact algorithm for efficient computation of the time series of conditional variances, and hence the likelihood function, of models that have an ARCH(∞) representation. This class of models includes, e.g., the fractionally integrated generalized autoregressive...

When considering multiple hypothesis tests simultaneously, standard statistical techniques will lead to over-rejection of null hypotheses unless the multiplicity of the testing framework is explicitly considered. In this paper we discuss the Romano-Wolf multiple hypothesis correction, and...

Cluster-robust inference is widely used in modern empirical work in economics and many other disciplines. The key unit of observation is the cluster. We propose measures of "high-leverage" clusters and "influential" clusters for linear regression models. The measures of leverage and partial...