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The Investor Recognition Hypot...
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Shapiro, Alexander
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Shapiro, Alex
29
Başak, Suleyman
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4
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ECONIS (ZBW)
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The investor recognition hypothesis in a dynamic general equilibrium : theory and evidence
Shapiro, Alex
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1999
Persistent link: https://www.econbiz.de/10001447917
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The investor recognition hypothesis in a dynamic general equilibrium : theory and evidence
Shapiro, Alex
- In:
The review of financial studies
15
(
2002
)
1
,
pp. 97-141
Persistent link: https://www.econbiz.de/10001639611
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3
Inference of statistical bounds for multistage stochastic programming problems
Shapiro, Alex
- In:
Mathematical methods of operations research
58
(
2003
)
1
,
pp. 57-68
Persistent link: https://www.econbiz.de/10001788397
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4
On a time consistency concept in risk averse multistage stochastic programming
Shapiro, Alexander
- In:
Operations research letters
37
(
2009
)
3
,
pp. 143-147
Persistent link: https://www.econbiz.de/10003903823
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5
A dynamic programming approach to adjustable robust optimization
Shapiro, Alexander
- In:
Operations research letters
39
(
2011
)
2
,
pp. 83-87
Persistent link: https://www.econbiz.de/10009010694
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6
On Kusuoka representation of law invariant risk measures
Shapiro, Alexander
- In:
Mathematics of operations research
38
(
2013
)
1
,
pp. 142-152
Persistent link: https://www.econbiz.de/10009727684
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7
Time consistency of dynamic risk measures
Shapiro, Alexander
- In:
Operations research letters
40
(
2012
)
6
,
pp. 436-439
Persistent link: https://www.econbiz.de/10009716583
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8
Comments on: Stability in linear optimization and related topics : a personal tour
Shapiro, Alexander
- In:
Top : transactions in operations research
20
(
2012
)
2
,
pp. 261-264
Persistent link: https://www.econbiz.de/10009578243
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9
Minimax and risk averse multistage stochastic programming
Shapiro, Alexander
- In:
European journal of operational research : EJOR
219
(
2012
)
3
,
pp. 719-726
Persistent link: https://www.econbiz.de/10009526593
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10
Interchangeability principle and dynamic equations in risk averse stochastic programming
Shapiro, Alexander
- In:
Operations research letters
45
(
2017
)
4
,
pp. 377-381
Persistent link: https://www.econbiz.de/10011740612
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