Modeling banks cash flow behavior in the Federal Reserve system
Do financial institutions exhibit similar currency flow patterns within the Federal reserve system? Certain models indicate that the answer is yes. However, the answer not only depends upon model formation, but also upon the manner in which the raw data is structured. This structuring refers to how the raw data is collapsed, or what level of detail is used in the model. For example, should cash flows be averaged on a yearly basis? The choice of granularity becomes crucial in obtaining an affirmative answer to the question. This paper presents the results of various model formations using linear models and principal components, and using various granularities in the data. Other factors involved in the modeling effect include temporal effects, geographic effects, and characteristics of the financial institutions such as institution type (commercial bank, S&L, Credit Union, etc.) and ``size`` (deposits, loans, volume). The results of this study indicate similar currency flow behaviors at more general levels of detail, indicate how varied and different these behaviors can be at finer levels of detail, and indicate which data transformations and covariates are best for model construction.
- Research Organization:
- Los Alamos National Lab., NM (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- W-7405-ENG-36
- OSTI ID:
- 10151099
- Report Number(s):
- LA-UR-92-1708; CONF-920893-2; ON: DE92015245
- Resource Relation:
- Conference: Joint statistical meetings of the American Statistical Association, the Biometric Society and the Institute of Mathematical Statistics,Boston, MA (United States),9-13 Aug 1992; Other Information: PBD: [1992]
- Country of Publication:
- United States
- Language:
- English
Similar Records
Geothermal loan guaranty cash flow model: description and users' manual
Discounted cash flow of electric utility projects