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Journal of forecasting
International journal of forecasting
34
International Journal of Forecasting
13
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Management science : journal of the Institute for Operations Research and the Management Sciences
5
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Smooth transition exponential smoothing
Taylor, James W.
- In:
Journal of forecasting
23
(
2004
)
6
,
pp. 385-404
Persistent link: https://www.econbiz.de/10002233157
Saved in:
2
A quantile regression neural network approach to estimating the conditional density of multiperiod returns
Taylor, James W.
- In:
Journal of forecasting
19
(
2000
)
4
,
pp. 299-311
Persistent link: https://www.econbiz.de/10001504631
Saved in:
3
Evaluating volatility and interval forecasts
Taylor, James W.
- In:
Journal of forecasting
18
(
1999
)
2
,
pp. 111-128
Persistent link: https://www.econbiz.de/10001368220
Saved in:
4
Using CAViaR models with implied volatility for value-at-risk estimation
Jeon, Jooyoung
;
Taylor, James W.
- In:
Journal of forecasting
32
(
2013
)
1
,
pp. 62-74
Persistent link: https://www.econbiz.de/10009758719
Saved in:
5
A comparison of temperature density forecasts from GARCH and atmospheric models
Taylor, James W.
;
Buizza, Roberto
- In:
Journal of forecasting
23
(
2004
)
5
,
pp. 337-355
Persistent link: https://www.econbiz.de/10002194813
Saved in:
6
Smooth transition exponential smoothing
Taylor, James W.
- In:
Journal of forecasting
23
(
2004
)
6
,
pp. 385-404
Persistent link: https://www.econbiz.de/10006880040
Saved in:
7
A comparison of temperature density forecasts from GARCH and atmospheric models
Taylor, James W.
;
Buizza, Roberto
- In:
Journal of forecasting
23
(
2004
)
5
,
pp. 337-356
Persistent link: https://www.econbiz.de/10006880577
Saved in:
8
A comparison of methods for forecasting value at risk and expected shortfall of cryptocurrencies
Trucíos, Carlos
;
Taylor, James W.
- In:
Journal of forecasting
42
(
2023
)
4
,
pp. 989-1007
Persistent link: https://www.econbiz.de/10014292894
Saved in:
9
Using CAViaR Models with Implied Volatility for Value‐at‐Risk Estimation
Jeon, Jooyoung
;
Taylor, James W.
- In:
Journal of forecasting
32
(
2013
)
1
,
pp. 62-74
Persistent link: https://www.econbiz.de/10010061476
Saved in:
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