Forecasting the return distribution using high-frequency volatility measures
Year of publication: |
2013
|
---|---|
Authors: | Hua, Jian ; Manzan, Sebastiano |
Published in: |
Journal of banking & finance. - Amsterdam [u.a.] : Elsevier, ISSN 0378-4266, ZDB-ID 752905-3. - Vol. 37.2013, 11, p. 4381-4403
|
Subject: | Realized volatility | Quantile regression | Density forecast | Value-at-risk | Volatilität | Volatility | Statistische Verteilung | Statistical distribution | Prognoseverfahren | Forecasting model | Kapitaleinkommen | Capital income | Risikomaß | Risk measure | Regressionsanalyse | Regression analysis | Schätzung | Estimation | ARCH-Modell | ARCH model | Theorie | Theory | Zeitreihenanalyse | Time series analysis | Prognose | Forecast |
-
Realizing the extremes : estimation of tail-risk measures from a high-frequency perspective
Bee, Marco, (2016)
-
An approximate long-memory range-based approach for value at risk estimation
Meng, Xiaochun, (2018)
-
Gupta, Rangan, (2023)
- More ...
-
Forecasting the Return Distribution Using High-Frequency Volatility Measures
Hua, Jian, (2013)
-
Uncertainty shocks, network position, and inventory
Wu, Dazhong, (2023)
-
Forecasting yield curves with survey information
Francis, Jack Clark, (2012)
- More ...