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Encompassing Tests for Value a...
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Encompassing tests for value at risk and expected shortfall multistep forecasts based on inference on the boundary
Dimitriadis, Timo
;
Liu, Xiaochun
;
Schnaitmann, Julie
- In:
Journal of financial econometrics
21
(
2023
)
2
,
pp. 412-444
Persistent link: https://www.econbiz.de/10014314753
Saved in:
2
Structural volatility impulse response function and asymptotic inference
Liu, Xiaochun
- In:
Journal of financial econometrics : official journal of …
16
(
2018
)
2
,
pp. 316-339
Persistent link: https://www.econbiz.de/10011987769
Saved in:
3
An integrated macro-financial risk-based approach to the stressed capital requirement
Liu, Xiaochun
- In:
Review of financial economics : RFE
34
(
2017
),
pp. 86-98
Persistent link: https://www.econbiz.de/10011876797
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4
Measuring systemic risk with regime switching in tails
Liu, Xiaochun
- In:
Economic modelling
67
(
2017
),
pp. 55-72
Persistent link: https://www.econbiz.de/10011813772
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5
Unfolded risk-return trade-offs and links to Macroeconomic Dynamics
Liu, Xiaochun
- In:
Journal of banking & finance
82
(
2017
),
pp. 1-19
Persistent link: https://www.econbiz.de/10011816457
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6
On tail fatness of macroeconomic dynamics
Liu, Xiaochun
- In:
Journal of macroeconomics
62
(
2019
),
pp. 1-18
Persistent link: https://www.econbiz.de/10012243478
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7
Quantile-based asymmetric dynamics of real GDP growth
Liu, Xiaochun
- In:
Macroeconomic dynamics
24
(
2020
)
8
,
pp. 1960-1988
Persistent link: https://www.econbiz.de/10012404222
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8
On fiscal and monetary policy-induced macroeconomic volatility dynamics
Liu, Xiaochun
- In:
Journal of economic dynamics & control
127
(
2021
),
pp. 1-21
Persistent link: https://www.econbiz.de/10012668875
Saved in:
9
Structural sources of oil market volatility and correlation dynamics
Harrison, Andre
;
Liu, Xiaochun
;
Stewart, Shamar L.
- In:
Energy economics
121
(
2023
),
pp. 1-14
Persistent link: https://www.econbiz.de/10014438691
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10
Modeling time-varying skewness via decomposition for out-of-sample forecast
Liu, Xiaochun
- In:
International journal of forecasting
31
(
2015
)
2
,
pp. 296-311
Persistent link: https://www.econbiz.de/10011474059
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