Using Monte Carlo Simulation as a Financial Modeling Tool to Support Sustainability Efforts of a Government Agency

The National Oceanic and Atmospheric Administration (NOAA) collects ecosystem data to support coastal resource conservation and management activities by studying stressors that impact estuaries such as the Chesapeake Bay, which is the largest in the United States. This paper seeks to help NOAA justify its existence and its budget by utilizing Monte Carlo simulation as a financial modeling tool, with such simulations providing insights on how to allocate identified resources. The results of the study offer an innovative method for helping government managers decide how much money to spend, what to spend it on, and how to acquire resources for the Chesapeake Bay Interpretive Buoy System. Moreover, this paper also demonstrates how an experiential project in graduate business education can be used to support sustainability efforts by addressing community-focused issues while improving student connection between theory and application at the same time

Using Monte Carlo Simulation as a Financial Modeling Tool to Support Sustainability Efforts of a Government Agency

The National Oceanic and Atmospheric Administration (NOAA) collects ecosystem data to support coastal resource conservation and management activities by studying stressors that impact estuaries such as the Chesapeake Bay, which is the largest in the United States. This paper seeks to help NOAA justify its existence and its budget by utilizing Monte Carlo simulation as a financial modeling tool, with such simulations providing insights on how to allocate identified resources. The results of the study offer an innovative method for helping government managers decide how much money to spend, what to spend it on, and how to acquire resources for the Chesapeake Bay Interpretive Buoy System. Moreover, this paper also demonstrates how an experiential project in graduate business education can be used to support sustainability efforts by addressing community-focused issues while improving student connection between theory and application at the same time

A naturally controlled experiment of managerial transition: sprint corporation's transfer of Len Lauer from President of FON to President of PCS

This study presents an analysis of Len Lauer's transfer from the presidency of Sprint's FON division to the presidency of its PCS division. By examining the unique nature of Sprint's dual tracking stocks, the study analyses what was perhaps the most perfectly controlled study possible involving a change in top management. The results suggest that Lauer's transfer to PCS (from FON) was accompanied by striking increases (decreases) in shareholder wealth.