Answer:
Amortized to pension expense $21,600
Explanation:
Compututation of Indigo’s minimum amortization of the actuarial loss
Amortization
Projected benefit obligation($3,386,000)
Plan assets $3,617,000
Corridor percentage10%
Corridor amount $361,700
Accumulated loss $528,020
Excess loss subject to amortization $166,320
($361,700- $528,020)
Average remaining service 7.70
Amortized to pension expense $21,600
($166,320÷7.70)
Therefore the Minimum amortization of the actuarial loss will be $21,600
Answer:
The bonds were issued at $87,590,959
Explanation:
The bonds will be issued at the present value of the coupon and maturity discounted by the market rate
C 6,000,000.000 ( 100 million x 6%)
time 30 (2051 - 2021)
market rate 7% = 7/100 = 0.07
PV $74,454,247.1010
PV of the maturity
Maturity 100,000,000.00
time 30.00
rate 0.07
PV 13,136,711.72
Total current value of the bonds:
PV coupon $ 74,454,247.1010
PV maturity $<u> 13,136, 711.7155 </u>
Total $87,590,958.8165
The answer to the blank space is voice. There are four types of employees besides stars, and they are: land mines, not yet gone, and students.
These employees are classified into the four categories based on two important questions: Is this employee a cultural fit? Is the employee a contributor?
Stars would fit culturally and be an active contributor, while students are culturally fit but not yet a contributor. Land mines are not culturally fit but are active contributor while not yet gone are both not culturally fit and not active contributor.
Answer:
because America coins and Canada coins is same
Explanation:
pls mark this
Answer:
About the Lagrangian method,
We can use it to solve both consumer's utility maximization and firm's cost minimization problems.
Explanation:
Lagrangian method is a mathematical strategy for finding the maxima and the minima of a function subject to equality constraints. Equality constraints mean that one or more equations have to be satisfied exactly by the chosen values of the variables. Named after the mathematician, Joseph-Louis Lagrange, the basic idea behind the Lagrangian method is to convert a constrained problem into a Lagrangian function.
