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Adaptive Conformal Inference for Computing Market Risk Measures: an Analysis with Four Thousands Crypto-Assets

https://doi.org/10.2139/ssrn.4867321
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inferredcites →https://doi.org/10.1002/(sici)1099-1255(199607)11:4<399::aid-jae401>3.0.co;2-ropenalex-snapshot
Analytic derivatives and the computation of GARCH estimates
inferredcites →https://doi.org/10.1002/for.2929openalex-snapshot
A comparison of methods for forecasting value at risk and expected shortfall of cryptocurrencies
inferredcites →https://doi.org/10.1007/978-1-4614-7750-1_74openalex-snapshot
Range Volatility: A Review of Models and Empirical Studies
inferredcites →https://doi.org/10.1007/b106715openalex-snapshot
Algorithmic Learning in a Random World
inferredcites →https://doi.org/10.1007/s10994-016-5592-6openalex-snapshot
Optimal learning with Bernstein online aggregation
inferredcites →https://doi.org/10.1016/j.csda.2008.02.002openalex-snapshot
The effects of misspecified marginals and copulas on computing the value at risk: A Monte Carlo study
inferredcites →https://doi.org/10.1016/j.frl.2022.102916openalex-snapshot
Comparison of risk forecasts for cryptocurrencies: A focus on Range Value at Risk
inferredcites →https://doi.org/10.1016/j.ijforecast.2003.10.003openalex-snapshot
Forecasting volatility: A reality check based on option pricing, utility function, value-at-risk, and predictive likelihood
inferredcites →https://doi.org/10.1016/j.ijforecast.2020.09.006openalex-snapshot
Conformal prediction interval estimation and applications to day-ahead and intraday power markets
inferredcites →https://doi.org/10.1016/j.ijforecast.2020.12.001openalex-snapshot
Stock market volatility forecasting: Do we need high-frequency data?
inferredcites →https://doi.org/10.1016/j.irfa.2011.06.012openalex-snapshot
Properties of range-based volatility estimators
inferredcites →https://doi.org/10.1016/j.jbankfin.2018.01.002openalex-snapshot
Multinomial VaR backtests: A simple implicit approach to backtesting expected shortfall
inferredcites →https://doi.org/10.1016/j.jeconom.2010.03.034openalex-snapshot
Volatility forecast comparison using imperfect volatility proxies
inferredcites →https://doi.org/10.1016/j.jempfin.2019.08.004openalex-snapshot
Range-Based DCC Models for Covariance and Value-at-Risk Forecasting
inferredcites →https://doi.org/10.1016/j.neucom.2024.128434openalex-snapshot
A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting
inferredcites →https://doi.org/10.1016/j.ribaf.2020.101259openalex-snapshot
Forecasting Value-at-Risk of Cryptocurrencies with RiskMetrics type models
inferredcites →https://doi.org/10.1016/j.srfe.2013.06.001openalex-snapshot
A comprehensive review of Value at Risk methodologies
inferredcites →https://doi.org/10.1016/j.tcs.2017.11.021openalex-snapshot
Scale-free online learning
inferredcites →https://doi.org/10.1017/cbo9780511546921openalex-snapshot
Prediction, Learning, and Games
inferredcites →https://doi.org/10.1080/01621459.2012.751873openalex-snapshot
Distribution-Free Prediction Sets
inferredcites →https://doi.org/10.1080/03610910500415993openalex-snapshot
Exact Size and Power Properties of Five Tests for Multinomial Proportions
inferredcites →https://doi.org/10.1080/09603107.2011.587770openalex-snapshot
Small sample properties of copula-GARCH modelling: a Monte Carlo study
inferredcites →https://doi.org/10.1080/13518470500039436openalex-snapshot
Small sample properties of GARCH estimates and persistence
inferredcites →https://doi.org/10.1080/14697688.2022.2159505openalex-snapshot
Assessing the accuracy of exponentially weighted moving average models for Value-at-Risk and Expected Shortfall of crypto portfolios
inferredcites →https://doi.org/10.1086/296071openalex-snapshot
The Extreme Value Method for Estimating the Variance of the Rate of Return
inferredcites →https://doi.org/10.1086/296072openalex-snapshot
On the Estimation of Security Price Volatilities from Historical Data
inferredcites →https://doi.org/10.1093/jjfinec/nbp001openalex-snapshot
A Simple Approximate Long-Memory Model of Realized Volatility
inferredcites →https://doi.org/10.1093/jrsssb/qkae009openalex-snapshot
Doubly robust calibration of prediction sets under covariate shift
inferredcites →https://doi.org/10.1109/glocom.2008.ecp.284openalex-snapshot
Network Traffic Demand Prediction with Confidence
inferredcites →https://doi.org/10.1111/rssb.12021openalex-snapshot
Distribution-free Prediction Bands for Non-parametric Regression
inferredcites →https://doi.org/10.1198/073500104000000370openalex-snapshot
CAViaR
inferredcites →https://doi.org/10.1198/jasa.2011.r10138openalex-snapshot
Making and Evaluating Point Forecasts
inferredcites →https://doi.org/10.1198/tech.2001.s619openalex-snapshot
Modern Applied Statistics With S-PLUS
inferredcites →https://doi.org/10.1214/20-aos1965openalex-snapshot
Predictive inference with the jackknife+
inferredcites →https://doi.org/10.1214/23-aos2276openalex-snapshot
Conformal prediction beyond exchangeability
inferredcites →https://doi.org/10.1561/2200000101openalex-snapshot
Conformal Prediction: A Gentle Introduction
inferredcites →https://doi.org/10.1920/wp.cem.2018.1618openalex-snapshot
Exact and robust conformal inference methods for predictive machine learning with dependent data
inferredcites →https://doi.org/10.21314/jor.2015.318openalex-snapshot
What is the best risk measure in practice? A comparison of standard measures
inferredcites →https://doi.org/10.2307/1913643openalex-snapshot
Regression Quantiles
inferredcites →https://doi.org/10.2307/2527341openalex-snapshot
Evaluating Interval Forecasts
inferredcites →https://doi.org/10.24411/1993-7601-2019-10008openalex-snapshot
THE IMPORTANCE OF BEING INFORMED: FORECASTING MARKET RISK MEASURES FOR THE RUSSIAN RTS INDEX FUTURE USING ONLINE DATA AND IMPLIED VOLATILITY OVER TWO DECADES
inferredcites →https://doi.org/10.26180/5090230openalex-snapshot
Automatic time series forecasting: the forecast package for R
inferredcites →https://doi.org/10.32614/cran.package.operaopenalex-snapshot
opera: Online Prediction by Expert Aggregation
inferredcites →https://doi.org/10.3390/info14050254openalex-snapshot
Assessing the Credit Risk of Crypto-Assets Using Daily Range Volatility Models
inferredcites →https://doi.org/10.3390/jrfm15070304openalex-snapshot
Crypto-Coins and Credit Risk: Modelling and Forecasting Their Probability of Death
inferredcites →https://doi.org/10.3905/jod.1995.407942openalex-snapshot
Techniques for Verifying the Accuracy of Risk Measurement Models
inferredcites →https://doi.org/10.3982/ecta5771openalex-snapshot
The Model Confidence Set
inferredcites →https://doi.org/10.48550/arxiv.0706.3188openalex-snapshot
A tutorial on conformal prediction
inferredcites →https://doi.org/10.48550/arxiv.1904.06019openalex-snapshot
Conformal Prediction Under Covariate Shift
inferredcites →https://doi.org/10.48550/arxiv.1905.03222openalex-snapshot
Conformalized Quantile Regression
inferredcites →https://doi.org/10.48550/arxiv.2004.10181openalex-snapshot
Knowing what you know: valid and validated confidence sets in multiclass and multilabel prediction
inferredcites →https://doi.org/10.48550/arxiv.2006.02544openalex-snapshot
Classification with Valid and Adaptive Coverage
inferredcites →https://doi.org/10.48550/arxiv.2007.04393openalex-snapshot
Adaptive Regret for Control of Time-Varying Dynamics
inferredcites →https://doi.org/10.48550/arxiv.2103.03323openalex-snapshot
Distribution-free uncertainty quantification for classification under label shift
inferredcites →https://doi.org/10.48550/arxiv.2106.00170openalex-snapshot
Adaptive Conformal Inference Under Distribution Shift
inferredcites →https://doi.org/10.48550/arxiv.2202.07282openalex-snapshot
Adaptive Conformal Predictions for Time Series
inferredcites →https://doi.org/10.48550/arxiv.2208.08401openalex-snapshot
Conformal Inference for Online Prediction with Arbitrary Distribution Shifts
inferredcites →https://doi.org/10.48550/arxiv.2302.07869openalex-snapshot
Improved Online Conformal Prediction via Strongly Adaptive Online Learning
inferredcites →https://doi.org/10.48550/arxiv.2312.00448openalex-snapshot
AdaptiveConformal: An R Package for Adaptive Conformal Inference
inferredcites →https://doi.org/10.5772/6078openalex-snapshot
Inductive Conformal Prediction: Theory and Application to Neural Networks
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