Decreasing definition
Decreasing means the cover will go down each month in line with a repayment
Decreasing means the cover will go down each month in line with a repayment mortgage that has the interest rate shown on your cover summary (0-15%).
Decreasing means the cover will go down each year in line with a repayment mortgage that has the interest rate shown
Examples of Decreasing in a sentence
Decreasing foreign exchange prices result in depreciation of the foreign currency investments.
If the Adjustment Note gives effect to a Decreasing Adjustment, the Supplier must pay to the Recipient the GST component of the Decreasing Adjustment not later than the fourteenth business day of the month following the month in which the Adjustment Note is issued to the Recipient.
More Definitions of Decreasing
Decreasing means the cover will go down each month in
Decreasing means the cover will go down in line with the mortgage repayment guarantee. Providing the term and amount of your cover is the same as the term and amount of your mortgage, we’ll pay your outstanding mortgage.
Decreasing mean “non-decreasing” and “non-increasing,” respectively. 7A utility function is called HARA if the reciprocal of the Arrow–Pratt measure of absolute risk aversion is a ▇▇▇▇▇▇▇ (1992) and Gollier (1996) take into account the insured’s prudence in designing optimal insurance policies. The degree of absolute prudence is defined as U rrr(x) P(x) := − Urr(x) (2.2) for a three-time differentiable utility function U . If P(x) is strictly decreasing in x, then the insured is said to exhibit strictly decreasing absolute prudence (DAP). ▇▇▇▇▇▇▇ (1990) shows that DAP characterizes the notion that wealthier people are less sensitive to future risks. Moreover, DAP implies DARA, as noted in Proposition 21 of Gollier (2001). A term related to prudence is third-degree stochastic dominance (TSD), which was introduced by ▇▇▇▇▇▇▇▇ (1970). A non-negative random variable Z1 is said to dominate another non-negative random variable Z2 in TSD if E[Z1] ≥ E[Z2] and ∫ x ∫ y FZ2 (z) − FZ1 (z)dzdy ≥ 0 for all x ≥ 0. Equivalently, Z1 dominates Z2 in TSD if and only if E[u(Z1)] ≥ E[u(Z2)] for all functions u satisfying ur > 0, urr < 0 and urrr > 0. TSD has been widely employed for decision making in finance and insurance. For instance, ▇▇▇▇▇ and Konno (2000) use it to study mean-variance optimal portfolio problems. If Z1 dominates Z2 in TSD and they have the same mean and variance, then Z1 is said to have less downside risk than Z2. In fact, the latter is equivalent to E[u(Z1)] ≥ E[u(Z2)] for any function u with urrr > 0; see ▇▇▇▇▇▇▇ et al. (1980).