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Logistic regression is used in various fields, including machine learning, most medical fields, and social sciences. For example, the Trauma and Injury Severity Score (), which is widely used to predict mortality in injured patients, was originally developed by Boyd et al. using logistic regression. [6]
The mortgage constant is commonly denoted as Rm. The Rm is higher than the interest rate for an amortizing loan because the Rm includes consideration of the principal as well as the interest. The Rm could be lower than the interest for a negatively amortizing loan.
With an interest rate of i = 10%, and n = 10 years, the CRF = 0.163. This means that a loan of $1,000 at 10% interest will be paid back with 10 annual payments of $163. [2] Another reading that can be obtained is that the net present value of 10 annual payments of $163 at 10% discount rate is $1,000. [2]
The effective interest rate is calculated as if compounded annually. The effective rate is calculated in the following way, where r is the effective annual rate, i the nominal rate, and n the number of compounding periods per year (for example, 12 for monthly compounding): [1]
The primary formula for calculating the interest accrued in a given period is: I A = T × P × R {\displaystyle I_{A}=T\times P\times R} where I A {\displaystyle I_{A}} is the accrued interest, T {\displaystyle T} is the fraction of the year, P {\displaystyle P} is the principal, and R {\displaystyle R} is the annualized interest rate.
A DSCR below 1.0 indicates that there is not enough cash flow to cover loan payments. In certain industries where non-recourse project finance is used, a Debt Service Reserve Account (DSRA) is commonly used to ensure that loan repayment can be met even in periods with DSCR<1.0 [ 2 ]
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