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Inference for large financial systems
Giesecke, Kay
;
Schwenkler, Gustavo
;
Sirignano, Justin A.
- In:
Mathematical Finance
(
2019
)
Persistent link: https://www.econbiz.de/10012095186
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2
Corporate bond default risk : a 150-year perspective
Giesecke, Kay
;
Longstaff, Francis A.
;
Schaefer, Stephen M.
-
2010
Persistent link: https://www.econbiz.de/10003952425
Saved in:
3
Macroeconomic effects of corporate default crises : a long-term perspective
Giesecke, Kay
;
Longstaff, Francis A.
;
Schaefer, Stephen M.
-
2012
Persistent link: https://www.econbiz.de/10009516751
Saved in:
4
Deep learning for mortgage risk
Sadhwani, Apaar
;
Giesecke, Kay
;
Sirignano, Justin
- In:
Journal of financial econometrics
19
(
2021
)
2
,
pp. 313-368
Persistent link: https://www.econbiz.de/10012620055
Saved in:
5
Introduction to the special section on data-driven prescriptive analytics
Giesecke, Kay
;
Liberali, Gui
;
Nazerzadeh, Hamid
; …
- In:
Management science : journal of the Institute for …
68
(
2022
)
3
,
pp. 1591-1594
Persistent link: https://www.econbiz.de/10013259930
Saved in:
6
Simulated likelihood estimators for discretely observed jump-diffusions
Giesecke, Kay
;
Schwenkler, G.
- In:
Journal of econometrics
213
(
2019
)
2
,
pp. 297-320
Persistent link: https://www.econbiz.de/10012304557
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7
Variation-based tests for volatility misspecification
Papanicolaou, Alex
;
Giesecke, Kay
- In:
Journal of econometrics
191
(
2016
)
1
,
pp. 217-230
Persistent link: https://www.econbiz.de/10011598102
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8
Risk analysis for large pools of loans
Sirignano, Justin
;
Giesecke, Kay
- In:
Management science : journal of the Institute for …
65
(
2019
)
1
,
pp. 107-121
Persistent link: https://www.econbiz.de/10011991377
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9
Dynamic portfolio execution
Tsoukalas, Gerry
;
Wang, Jiang
;
Giesecke, Kay
- In:
Management science : journal of the Institute for …
65
(
2019
)
5
,
pp. 2015-2040
Persistent link: https://www.econbiz.de/10012039722
Saved in:
10
Large-scale loan portfolio selection
Sirignano, Justin A.
;
Tsoukalas, Gerry
;
Giesecke, Kay
- In:
Operations research
64
(
2016
)
6
,
pp. 1239-1255
Persistent link: https://www.econbiz.de/10011620636
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