activity
20172026
most citedMarkov Chain Monte Carlo Methods for Estimating Systemic Risk Allocations

2 citations · 6 across the 14 of their papers we have counts for

collaborators

15 papers

math.ST2026

A Characterization of Measures of Concordance of Degree Two

Takaaki Koike, Haruki Tsunekawa

We characterize bivariate measures of concordance of degree at most two in the sense that the measures evaluated at copula-mixture segments are polynomials of degree at most two. O…

math.ST2026

Measuring multivariate maximal tail dependence

Takaaki Koike, Marius Hofert, Haruki Tsunekawa

The classical tail dependence coefficient (TDC) may fail to capture non-exchangeable features of bivariate tail dependence since it evaluates the underlying copula only along the d…

q-fin.RM2026

Tail copula representation of path-based maximal tail dependence

Takaaki Koike, Marius Hofert, Haruki Tsunekawa

The classical tail dependence coefficient (TDC) may fail to capture non-exchangeable features of tail dependence due to its restrictive focus on the diagonal of the underlying copu…

q-fin.RM2025

Robust risk evaluation of joint life insurance under dependence uncertainty

Takaaki Koike

Dependence among multiple lifetimes is a key factor for pricing and evaluating the risk of joint life insurance products. The dependence structure can be exposed to model uncertain…

stat.ME2024

Measuring and testing tail equivalence

Takaaki Koike, Shogo Kato, Toshinao Yoshiba

We call two copulas tail equivalent if their first-order approximations in the tail coincide. As a special case, a copula is called tail symmetric if it is tail equivalent to the a…

math.ST2023★ 1 cited

Invariant correlation under marginal transforms

Takaaki Koike, Liyuan Lin, Ruodu Wang

A useful property of independent samples is that their correlation remains the same after applying marginal transforms. This invariance property plays a fundamental role in statist…

math.ST2022★ 1 cited

Joint mixability and notions of negative dependence

Takaaki Koike, Liyuan Lin, Ruodu Wang

A joint mix is a random vector with a constant component-wise sum. The dependence structure of a joint mix minimizes some common objectives such as the variance of the component-wi…

math.ST2021★ 1 cited

Measuring non-exchangeable tail dependence using tail copulas

Takaaki Koike, Shogo Kato, Marius Hofert

Quantifying tail dependence is an important issue in insurance and risk management. The prevalent tail dependence coefficient (TDC), however, is known to underestimate the degree o…

math.ST2020

Matrix compatibility and correlation mixture representation of generalized Gini's gamma

Takaaki Koike, Marius Hofert

Representations of measures of concordance in terms of Pearson' s correlation coefficient are studied. All transforms of random variables are characterized such that the correlatio…

math.ST2020★ 1 cited

Comparison of correlation-based measures of concordance in terms of asymptotic variance

Takaaki Koike, Marius Hofert

We compare measures of concordance that arise as Pearson's linear correlation coefficient between two random variables transformed so that they follow the so-called concordance-ind…

q-fin.RM2020

Modality for Scenario Analysis and Maximum Likelihood Allocation

Takaaki Koike, Marius Hofert

We study the variability of a risk from the statistical viewpoint of multimodality of the conditional loss distribution given that the aggregate loss equals an exogenously provided…

q-fin.CP2020

Avoiding zero probability events when computing Value at Risk contributions

Takaaki Koike, Yuri F. Saporito, Rodrigo S. Targino

This paper is concerned with the process of risk allocation for a generic multivariate model when the risk measure is chosen as the Value-at-Risk (VaR). We recast the traditional E…

q-fin.RM2019★ 2 cited

Markov Chain Monte Carlo Methods for Estimating Systemic Risk Allocations

Takaaki Koike, Marius Hofert

We propose a novel framework of estimating systemic risk measures and risk allocations based on Markov chain Monte Carlo (MCMC) methods. We consider a class of allocations whose jt…

math.ST2018

Compatibility and attainability of matrices of correlation-based measures of concordance

Marius Hofert, Takaaki Koike

Measures of concordance have been widely used in insurance and risk management to summarize non-linear dependence among risks modeled by random variables, which Pearson's correlati…

q-fin.RM2017

Estimation of Risk Contributions with MCMC

Takaaki Koike, Mihoko Minami

Determining risk contributions of unit exposures to portfolio-wide economic capital is an important task in financial risk management. Computing risk contributions involves difficu…