Recent Developments in Management Science in Banking
Banking has been a fertile area for management science applications, as is evident from the review provided in this paper. The relevant management science models are discussed in terms of the areas of bank management for which they were intended. Under dynamic balance sheet management (i.e., interna...
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Veröffentlicht in: | Management science 1981-10, Vol.27 (10), p.1097-1119 |
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description | Banking has been a fertile area for management science applications, as is evident from the review provided in this paper. The relevant management science models are discussed in terms of the areas of bank management for which they were intended. Under dynamic balance sheet management (i.e., internal bank financial planning) we consider forecasting techniques, simulation models and optimization models. Other areas of banking included are bond portfolio management, bank operations, corporate services, bank marketing and management of the loan portfolio. The authors provide an evaluation of the applicability of management science models in practice, discuss the extent to which some have been implemented and consider the philosophy of using management science models in banking. |
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The relevant management science models are discussed in terms of the areas of bank management for which they were intended. Under dynamic balance sheet management (i.e., internal bank financial planning) we consider forecasting techniques, simulation models and optimization models. Other areas of banking included are bond portfolio management, bank operations, corporate services, bank marketing and management of the loan portfolio. The authors provide an evaluation of the applicability of management science models in practice, discuss the extent to which some have been implemented and consider the philosophy of using management science models in banking.</description><identifier>ISSN: 0025-1909</identifier><identifier>EISSN: 1526-5501</identifier><identifier>DOI: 10.1287/mnsc.27.10.1097</identifier><identifier>CODEN: MNSCDI</identifier><language>eng</language><publisher>Linthicum: INFORMS</publisher><subject>Balance sheets ; Bank loans ; Bank management ; Bank marketing ; Bank portfolios ; Banking ; Banking industry ; Banks ; Bond management ; Bond portfolios ; Econometrics ; finance ; Financial institutions ; financial institutions: banks ; Financial planning ; Forecasting ; Forecasting models ; Forecasting techniques ; Interest rates ; Lines of credit ; Loans ; Management science ; Mathematical models ; Modeling ; Operations management ; Optimization ; Portfolio management ; Simulation ; Statistical methods ; Supply & demand ; Time series ; Trust departments ; Variables</subject><ispartof>Management science, 1981-10, Vol.27 (10), p.1097-1119</ispartof><rights>Copyright 1981 The Institute of Management Sciences</rights><rights>Copyright Institute for Operations Research and the Management Sciences Oct 1981</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c417t-817b096e3504e2673fea51221364b4a2a5c46de33ccee274994b927e5ae0e9ef3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/2631080$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://pubsonline.informs.org/doi/full/10.1287/mnsc.27.10.1097$$EHTML$$P50$$Ginforms$$H</linktohtml><link.rule.ids>314,776,780,799,3679,3994,27846,27901,27902,57992,58225,62589</link.rule.ids><backlink>$$Uhttp://econpapers.repec.org/article/inmormnsc/v_3a27_3ay_3a1981_3ai_3a10_3ap_3a1097-1119.htm$$DView record in RePEc$$Hfree_for_read</backlink></links><search><creatorcontrib>Cohen, Kalman J</creatorcontrib><creatorcontrib>Maier, Steven F</creatorcontrib><creatorcontrib>Vander Weide, James H</creatorcontrib><title>Recent Developments in Management Science in Banking</title><title>Management science</title><description>Banking has been a fertile area for management science applications, as is evident from the review provided in this paper. The relevant management science models are discussed in terms of the areas of bank management for which they were intended. Under dynamic balance sheet management (i.e., internal bank financial planning) we consider forecasting techniques, simulation models and optimization models. Other areas of banking included are bond portfolio management, bank operations, corporate services, bank marketing and management of the loan portfolio. The authors provide an evaluation of the applicability of management science models in practice, discuss the extent to which some have been implemented and consider the philosophy of using management science models in banking.</description><subject>Balance sheets</subject><subject>Bank loans</subject><subject>Bank management</subject><subject>Bank marketing</subject><subject>Bank portfolios</subject><subject>Banking</subject><subject>Banking industry</subject><subject>Banks</subject><subject>Bond management</subject><subject>Bond portfolios</subject><subject>Econometrics</subject><subject>finance</subject><subject>Financial institutions</subject><subject>financial institutions: banks</subject><subject>Financial planning</subject><subject>Forecasting</subject><subject>Forecasting models</subject><subject>Forecasting techniques</subject><subject>Interest rates</subject><subject>Lines of credit</subject><subject>Loans</subject><subject>Management science</subject><subject>Mathematical models</subject><subject>Modeling</subject><subject>Operations management</subject><subject>Optimization</subject><subject>Portfolio management</subject><subject>Simulation</subject><subject>Statistical methods</subject><subject>Supply & demand</subject><subject>Time series</subject><subject>Trust 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Developments in Management Science in Banking</title><author>Cohen, Kalman J ; Maier, Steven F ; Vander Weide, James H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c417t-817b096e3504e2673fea51221364b4a2a5c46de33ccee274994b927e5ae0e9ef3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1981</creationdate><topic>Balance sheets</topic><topic>Bank loans</topic><topic>Bank management</topic><topic>Bank marketing</topic><topic>Bank portfolios</topic><topic>Banking</topic><topic>Banking industry</topic><topic>Banks</topic><topic>Bond management</topic><topic>Bond portfolios</topic><topic>Econometrics</topic><topic>finance</topic><topic>Financial institutions</topic><topic>financial institutions: banks</topic><topic>Financial planning</topic><topic>Forecasting</topic><topic>Forecasting models</topic><topic>Forecasting techniques</topic><topic>Interest rates</topic><topic>Lines of 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science</jtitle><date>1981-10-01</date><risdate>1981</risdate><volume>27</volume><issue>10</issue><spage>1097</spage><epage>1119</epage><pages>1097-1119</pages><issn>0025-1909</issn><eissn>1526-5501</eissn><coden>MNSCDI</coden><abstract>Banking has been a fertile area for management science applications, as is evident from the review provided in this paper. The relevant management science models are discussed in terms of the areas of bank management for which they were intended. Under dynamic balance sheet management (i.e., internal bank financial planning) we consider forecasting techniques, simulation models and optimization models. Other areas of banking included are bond portfolio management, bank operations, corporate services, bank marketing and management of the loan portfolio. The authors provide an evaluation of the applicability of management science models in practice, discuss the extent to which some have been implemented and consider the philosophy of using management science models in banking.</abstract><cop>Linthicum</cop><pub>INFORMS</pub><doi>10.1287/mnsc.27.10.1097</doi><tpages>23</tpages></addata></record> |
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subjects | Balance sheets Bank loans Bank management Bank marketing Bank portfolios Banking Banking industry Banks Bond management Bond portfolios Econometrics finance Financial institutions financial institutions: banks Financial planning Forecasting Forecasting models Forecasting techniques Interest rates Lines of credit Loans Management science Mathematical models Modeling Operations management Optimization Portfolio management Simulation Statistical methods Supply & demand Time series Trust departments Variables |
title | Recent Developments in Management Science in Banking |
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