Build a decision tree based on the attached dataset. See the attached two other milestones to get an idea of my current thinking.
Final Project: Milestone One
The main research question that will guide the study is: Which geographic region will have the greatest chance of experiencing the most bank failures in the future? The research question could be answered based on understanding the decision analysis. Decision analysis techniques outline the fact that the occurrence of events is based on certain specific parameters. The parameters may be understood using technological methods of data analysis. Ideas of decision analysis could be applied to financial institutions. As a result, regional traits could be used to state the geographic region that faces challenges in the operations of the bank. Responding to the question will require a critical evaluation of the list of banks that have come under receivership in the history of the United States. However, a credible analysis based on the logic of geographical region will have to be qualified by a deeper understanding of history and the salient features of the regional economy that leads to bank failures. Christodoulakis (2015) argues that economic events should be analyzed from multiple perspectives that transcend the economic sphere and unearths socio-political realities that define the pulse of a region and affect the financial markets. The archaeological analysis of multiple realities could support using regionalism to understand economic outcomes that lead to bank failures.
The question of the accuracy of using the geographic region to predict future bank failures is addressed using data about the challenges facing the bank. The data choice that is complementary to the research question is the information held by the Federal Deposit Insurance Corporation, FDIC. The FDIC holds information on the number of banks and financial institutions that have failed in the past and in the present in all the regions of the United States. The fact that FDIC is a government entity that brings credibility to the data they have on failed banks. The issue of accessibility is fundamental to the study. The information held by FDIC on failed banks can be accessed with ease and without financial costs on the organization’s website. Furthermore, the information held by the FDIC is compatible with a tacit analysis that could be used in the study. For instance, the website contains quarterly banking profiles. The Quarterly Banking Profile provides a comprehensive summary of financial results for all FDIC-insured institutions (FDIC, 2020). Such reports provide valuable insight into the financial industry in written form, graphical, and statistical model. As a result, the FDIC website is a viable data set corresponding to the research question.
The data set from FDIC provides varying information on the financial industry in the United States, and the data is applied to the failure of banks. The data set was chosen for three main reasons. The first reason for choosing the site is the fact that it is a government website and has credible information. The United States government is the only entity that could have credible, regular, and updated information on the failure of banks in different places all over the country. The second reason for choosing the data set is the fact that it is easy to access and corroborate with information that could be gotten from other secondary sources. The relationship between the data set to the research question exists through the fact that information contained in the FDIC website provides evidence on the places where the banks that have failed operated. The FDIC provides information on the city and the state, which are critical to the research question.
References
Christodoulakis, N. (2015). How crises shaped economic ideas and policies: Wiser after
the events? Springer.
Federal Deposit Insurance Corporation. (2020). “Failed Bank List.”
https://www.fdic.gov/resources/resolutions/bank-failures/failed-bank-list/