53 citations · 59 across the 6 of their papers we have counts for
7 papers
Robust Inference on Income Inequality: -Statistic Based Approaches
Rustam Ibragimov, Paul Kattuman, Anton Skrobotov
Empirical analyses on income and wealth inequality and those in other fields in economics and finance often face the difficulty that the data is heterogeneous, heavy-tailed or corr…
COVID-19: Tail Risk and Predictive Regressions
Walter Distaso, Rustam Ibragimov, Alexander Semenov +1
The paper focuses on econometrically justified robust analysis of the effects of the COVID-19 pandemic on financial markets in different countries across the World. It provides the…
New Approaches to Robust Inference on Market (Non-)Efficiency, Volatility Clustering and Nonlinear Dependence
Rustam Ibragimov, Rasmus Pedersen, Anton Skrobotov
Many financial and economic variables, including financial returns, exhibit nonlinear dependence, heterogeneity and heavy-tailedness. These properties may make problematic the anal…
New robust inference for predictive regressions
Rustam Ibragimov, Jihyun Kim, Anton Skrobotov
We propose two robust methods for testing hypotheses on unknown parameters of predictive regression models under heterogeneous and persistent volatility as well as endogenous, pers…
Characterizations of joint distributions, copulas, information, dependence and decoupling, with applications to time series
Victor H. de la Peña, Rustam Ibragimov, Shaturgun Sharakhmetov
In this paper, we obtain general representations for the joint distributions and copulas of arbitrary dependent random variables absolutely continuous with respect to the product o…
Moment Inequalities for Symmetric Statistics
R. Ibragimov, Sh. Sharakhmetov
In this paper, we prove analogues of Khintchine and Rosenthal's moment inequalities for symmetric statistics (U-statistics) of arbitrary order. An example that shows significance o…