caa a22 4500 60623313X CHVBK 20210128101230.0 cr unu---uuuuu 210128e20150401xx s 000 0 eng 10.1007/s10287-014-0221-y doi (NATIONALLICENCE)springer-10.1007/s10287-014-0221-y Decision-making from a risk assessment perspective for Corporate Mergers and Acquisitions [Elektronische Daten] [Jinwook Lee, András Prékopa] Corporate Mergers and Acquisitions (M $$ { \& }$$ & As) are notoriously complex, and risk management is one of the essential aspects of the analysis process for decision-making on M $$ { \& }$$ & A deals. Empirically, we see that some M $$ { \& }$$ & A transactions are not successful in part because of the increased exposure to correlated sectors, suggesting that the merged entity possesses increased risk in the market. This motivates our research on risk evaluation processes for corporate M $$ { \& }$$ & A deals. In this paper, a decision making scheme using a reasonable risk measure is introduced and surveyed. Numerical examples are presented. Springer-Verlag Berlin Heidelberg, 2014 Risk assessment nationallicence Multivariate risk measures nationallicence Decision making nationallicence Corporate Mergers and Acquisitions nationallicence Lee Jinwook LeBow College of Business, Drexel University, 19104, Philadelphia, PA, USA aut Prékopa András RUTCOR, Rutgers Business School, 100 Rockafeller Road, 08854, Piscataway, NJ, USA aut Computational Management Science Springer Berlin Heidelberg 12/2(2015-04-01), 243-266 1619-697X 12:2<243 2015 12 10287 https://doi.org/10.1007/s10287-014-0221-y text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10287-014-0221-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Lee Jinwook LeBow College of Business, Drexel University, 19104, Philadelphia, PA, USA aut NATIONALLICENCE 700 1- Prékopa András RUTCOR, Rutgers Business School, 100 Rockafeller Road, 08854, Piscataway, NJ, USA aut NATIONALLICENCE 773 0- Computational Management Science Springer Berlin Heidelberg 12/2(2015-04-01), 243-266 1619-697X 12:2<243 2015 12 10287