Kay Giesecke is affiliated with Stanford University in the United States. Their research spans several interconnected fields including Finance, Information Systems, Management Information Systems, Management Science and Operations Research, and Statistics and Probability.
Their research topics cover a range of areas with a focus on stochastic and statistical methods applied in finance and technology. Key topics include:
Kay Giesecke has contributed to several research publications, mainly appearing in these venues:
Among the recent papers authored or co-authored by Giesecke are:
Other notable papers connected with their research context include "Advances in Blockchain and Crypto Economics" (2023, Management Science) and calls for papers related to AI for finance and blockchains in Management Science.
Frequent co-authors collaborating with Kay Giesecke include:
Eymen Errais;Kay Giesecke;Lisa R. Goldberg
Kay Giesecke
Kay Giesecke;Francis A. Longstaff;Stephen Schaefer;Ilya Strebulaev
Kay Giesecke
Kay Giesecke;Stefan Weber
S Azizpour;K. Giesecke;G. Schwenkler
Kay Giesecke;Stefan Weber
Kay Giesecke;Lisa R. Goldberg;Xiaowei Ding
Kay Giesecke
Kay Giesecke;Baeho Kim
Kay Giesecke
Kay Giesecke
Kay Giesecke;Lisa R. Goldberg
Jean-Pierre Fouque;Joseph A. Langsam
Kay Giesecke;Lisa R. Goldberg
Justin Sirignano;Apaar Sadhwani;Kay Giesecke
Kay Giesecke;Lisa Goldberg
Eymen Errais;Kay Giesecke;Lisa R. Goldberg
Kay Giesecke;Francis A. Longstaff;Stephen Schaefer;Ilya A. Strebulaev
Lisa Robin Goldberg;Kay Giesecke
Jorge A. Chan-Lau;Marco Espinosa;Kay Giesecke;Juan A. Solé
Kay Giesecke;Francis A. Longstaff;Francis A. Longstaff;Stephen M. Schaefer;Ilya A. Strebulaev;Ilya A. Strebulaev
Lisa R. Goldberg;Kay Giesecke
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