Results 31 to 40 of about 665,207 (240)

Tail Risk Signal Detection through a Novel EGB2 Option Pricing Model

open access: yesMathematics, 2023
Connecting derivative pricing with tail risk management has become urgent for financial practice and academia. This paper proposes a novel option pricing model based on the exponential generalized beta of the second kind (EGB2) distribution.
Hang Lin, Lixin Liu, Zhengjun Zhang
doaj   +1 more source

Forecasting Tail Risks [PDF]

open access: yesSSRN Electronic Journal, 2015
SummaryThis paper presents an early warning system as a set of multi‐period forecasts of indicators of tail real and financial risks obtained using a large database of monthly US data for the period 1972:1–2014:12. Pseudo‐real‐time forecasts are generated from: (a) sets of autoregressive and factor‐augmented vector autoregressions (VARs), and (b) sets ...
De Nicolò, Gianni, LUCCHETTA, Marcella
openaire   +4 more sources

Tail approximation for credit risk portfolios with heavy-tailed risk factors [PDF]

open access: yesThe Journal of Risk, 2006
We consider a portfolio credit risk model in the spirit of CreditMetrics [15]. The multivariate normally distributed underlying risk factors in that model are replaced by more general multivariate elliptical factors with heavy-tailed marginals, introducing tail-dependence. We consider a full-scale version of the model, i.e.
openaire   +1 more source

Capital Regulation and Tail Risk [PDF]

open access: yesSSRN Electronic Journal, 2011
The paper studies risk mitigation associated with capital regulation, in a context where banks may choose tail risk assets. We show that this undermines the traditional result that higher capital reduces excess risk taking driven by limited liability.
Perotti, E., Ratnovski, L., Vlahu, R.
openaire   +8 more sources

Implied Tail Risk and ESG Ratings

open access: yesMathematics, 2021
This paper explores whether the high or low ESG rating of a company is related to the level of its implied tail risk, measured on the basis of derivative data by implied skewness and implied kurtosis.
Jingyan Zhang   +2 more
doaj   +1 more source

Individual Investors’ Attention to Left Tail Risk [PDF]

open access: yesJournal of Asset Management and Financing, 2020
Objective: Left tail risk shows the probability of the occurrence of undesirable events. Investors who undergo the left tail risk are likely to experience considerable negative returns since the left tail risk oftentimes continues to the next period ...
Mahshid Shahrzadi, Daryoosh Forooghi
doaj   +1 more source

The Taxonomy of Tail Risk

open access: yesSSRN Electronic Journal, 2023
AbstractWe use tail events at different levels of severity to define an asset's tail risk and to decompose the latter into a systematic and an idiosyncratic component. The systematic component captures an asset's tendency to experience joint tail losses with the market and generalizes a classic tail dependence coefficient.
Evarist Stoja   +2 more
openaire   +3 more sources

Tail Risk around FOMC Announcements

open access: yesSSRN Electronic Journal, 2022
Abstract Predictive regressions of market returns on option-implied moments measured before pre-scheduled FOMC meetings show that tail risks play an important role in understanding the market risk premium around FOMC announcement days. Skewness and kurtosis, which capture investors’ expectations of the tails of the return distribution,
Kris Jacobs, Sai Ke, Xuhui (Nick) Pan
openaire   +1 more source

Tail risk of contagious diseases [PDF]

open access: yesNature Physics, 2020
Applying a modification of Extreme value Theory (thanks to a dual distribution technique by the authors on data over the past 2,500 years, we show that pandemics are extremely fat-tailed in terms of fatalities, with a marked potentially existential risk for humanity.
Cirillo, Pasquale   +1 more
openaire   +2 more sources

Extreme energy prices forecasting: Application of alpha-recurrent neural network with generalised Pareto distribution

open access: yesSouth African Journal of Science
Tail risk assessment is crucial in financial markets, especially for commodities such as Brent crude oil, where extreme price fluctuations pose a risk for investors and policymakers.
Kelebogile Bantsi, Katleho Makatjane
doaj   +1 more source

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