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The role of regression is to understand the relationship between the critical independent variables that are impacting the dependent variable. Some of the factors contribute more to the sales number than others. For example sales of the product is dependent upon the advertising budget, number of sales people on the ground, number of distributors, retail outlets, and various other factors. Regression analysis is a widely used statistical tool that helps marketing, sales, human resources, and financial managers to infer relationship between a dependent variable and independent variable. What is Regression Analysis – An Overview Our immersive learning methodology from – case study discussions to simulations tools help MBA and EMBA professionals to - gain new insight, deepen their knowledge of the Finance & Accounting field, simple linear regression, multiple regression, intercept, slope of line, R square, F test, P test and more. It also touches upon business topics such as - Mergers & acquisitions, Negotiations, Pricing, Risk management. The Harrington Financial Group (referred as “Harrington Thrift” from here on) case study provides evaluation & decision scenario in field of Finance & Accounting. Harrington Financial Group case study is a Harvard Business School (HBR) case study written by Alberto Moel, Robert C.

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Regression analysis done correctly can provide insights into various business decisions required in the Harrington Financial Group case study such as – marketing strategy decision, retail channel decision, hiring decisions, new investment decisions, new product launch decisions etc.Īt EMBA PRO, we provide corporate level professional quantitative and analytics solutions. To make sound business and marketing strategy, businesses needs to understand what impacts their revenue stream. The micro and macro environment factors not only impact the operations of the organization but also other stakeholders’ behavior such as consumer behavior, environmental protection groups, government policies etc. How Regression Analysis can be used to solve Harrington Financial Group case study?īusiness leaders spend a large amount of time understand both the micro and macro environment that a business operates in. Related Areas : Mergers & acquisitions, Negotiations, Pricing, Risk management 30% for the median thrift), and most of its liabilities were not deposits but other forms of wholesale funding.Ĭase Authors : Alberto Moel, Robert C. 80% of its assets consisted of mortgage-backed securities (vs. Still, Harrington in 1996 was not an average thrift.

Its net interest margin had more than tripled, core operating profits had grown by over 400%, and return on equity had been substantially increased.

Assets had grown from $75 million in 1988 to over $520 million at the end of 1996. Since the acquisition, the bank had done very well. The Smith Breeden principals had established an arms-length contract with Harrington, where Smith Breeden advised Harrington on the pricing, hedging, active management, and risk management of Harrington's assets and liabilities. Harrington was acquired in 1988 by the principals of Smith Breeden Associates, a money-management and consulting firm specializing in the application of modern financial technology to the pricing, hedging, and risk management of mortgage securities. In early 1997, Harrington Bank, a small Indiana savings and loan (thrift) wondered what its next move should be.

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EMBA Pro Statistics / Quantitative Solution for Harrington Financial Group case study