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- Keyword
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- Autoregressive Integrated Moving Average (ARIMA); Bank Failures – Mathematical models; Big business; Business enterprises—Size; Conditional Test; ERR; ERRR; Poisson process (1)
- Container freight derivatives, risk analysis, container shipping industry (1)
- Logistic, BPR, freight forwarding (1)
- Shipping derivatives, risk management, risk evaluation, shipping finance, SCFI (1)
Articles 1 - 4 of 4
Full-Text Articles in Statistical Models
An Investigation Of Shipping Derivatives Based On Risk Evaluation, Sheng Yang
An Investigation Of Shipping Derivatives Based On Risk Evaluation, Sheng Yang
World Maritime University Dissertations
No abstract provided.
Process Optimization In Freight Forwarding Industry, Xiaohua Shi
Process Optimization In Freight Forwarding Industry, Xiaohua Shi
World Maritime University Dissertations
No abstract provided.
Research On The Impact Of Container Freight Derivatives On Shipping, Zhenle Shen
Research On The Impact Of Container Freight Derivatives On Shipping, Zhenle Shen
World Maritime University Dissertations
No abstract provided.
Arima Models For Bank Failures: Prediction And Comparison, Fangjin Cui
Arima Models For Bank Failures: Prediction And Comparison, Fangjin Cui
UNLV Theses, Dissertations, Professional Papers, and Capstones
The number of bank failures has increased dramatically over the last twenty-two years. A common notion in economics is that some banks can become "too big to fail." Is this still a true statement? What is the relationship, if any, between bank sizes and bank failures? In this thesis, the proposed modeling techniques are applied to real bank failure data from the FDIC. In particular, quarterly data from 1989:Q1 to 2010:Q4 are used in the data analysis, which includes three major parts: 1) pairwise bank failure rate comparisons using the conditional test (Przyborowski and Wilenski, 1940); 2) development of the …