Discrete-Time Insurance Models. Optimization of Their Performance by Reinsurance and Bank Loans

2019 ◽  
pp. 342-353
Author(s):  
Ekaterina V. Bulinskaya
Keyword(s):  
Discrete Time ◽  
Bank Loans

The Effect of Partly Missing Covariates on Statistical Power in Randomized Controlled Trials With Discrete-Time Survival Endpoints

Methodology ◽  
2017 ◽  
Vol 13 (2) ◽  
pp. 41-60
Author(s):  
Shahab Jolani ◽  
Maryam Safarkhani
Keyword(s):  
Randomized Controlled Trials ◽  
Discrete Time ◽  
Treatment Effect ◽  
Survival Data ◽  
Controlled Trials ◽  
Missing Covariates ◽  
Indicator Method ◽  
Imputation Methods ◽  
Randomized Controlled ◽  
Baseline Covariates

Abstract. In randomized controlled trials (RCTs), a common strategy to increase power to detect a treatment effect is adjustment for baseline covariates. However, adjustment with partly missing covariates, where complete cases are only used, is inefficient. We consider different alternatives in trials with discrete-time survival data, where subjects are measured in discrete-time intervals while they may experience an event at any point in time. The results of a Monte Carlo simulation study, as well as a case study of randomized trials in smokers with attention deficit hyperactivity disorder (ADHD), indicated that single and multiple imputation methods outperform the other methods and increase precision in estimating the treatment effect. Missing indicator method, which uses a dummy variable in the statistical model to indicate whether the value for that variable is missing and sets the same value to all missing values, is comparable to imputation methods. Nevertheless, the power level to detect the treatment effect based on missing indicator method is marginally lower than the imputation methods, particularly when the missingness depends on the outcome. In conclusion, it appears that imputation of partly missing (baseline) covariates should be preferred in the analysis of discrete-time survival data.

Discrete-Time Delay Dynamics of Boundedly Rational Monopoly

2012 ◽  
Author(s):  
Akio Matsumato ◽  
Ferenc Szidarovsky
Keyword(s):  
Time Delay ◽  
Discrete Time ◽  
Discrete Time Delay

DECOMPOSITION OF NONLINEAR DISCRETE-TIME STOCHASTIC SYSTEMS

1985 ◽  
Vol 5 (4) ◽  
pp. 399-413
Author(s):  
Chongzhao Han
Keyword(s):  
Discrete Time ◽  
Stochastic Systems

Discretionary Accruals in Italian Private Firms and Non-Linear Bank Loan Granting

2017 ◽  
pp. 83-99
Author(s):  
Elisabetta Mafrolla ◽  
Viola Nobili
Keyword(s):  
Financial Reporting ◽  
Banking System ◽  
Regulatory System ◽  
Discretionary Accruals ◽  
Bank Loans ◽  
Bank Loan ◽  
Banking Union ◽  
Private Firms ◽  
European Banking Union

This paper investigates whether and at what extent private firms reduce the quality of their accruals in order to signal a better portrait to the bank and obtain new or larger bank loans. We measure earnings discretionary accruals of a sample of Italian private firms, testing whether new and larger bank loans are associated with a higher (lower) quality of earnings in borrowers' financial reporting. We study bank loan levels and changes and how they impact discretionary accruals and found that, surprisingly, private firms' discretionary accruals are systematically positively affected by an increase in bank loans, although they are negatively affected by the credit worthiness rating assigned to the borrowers. We find that the monitoring role of the banking system with regard to the adoption of discretionary accruals is effective only when the loan is very large. This paper may have implications for policy-makers as it contributes to the understanding of the shortcomings of the banking regulatory system. This is an extremely relevant issue since the excessive amount of non-performing loans held by Italian banks recently threatened the stability of the European Banking Union as a whole.

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