Question

DOLLAR BILL'S, a retail store in New York City, buys its inventory on credit. Upon purchase, it is given 30 days in which to pay its suppliers. It sells all of its merchandise on credit. It extends 60 days of credit to its customers. Its inventory turnover rate is 60 days.

Situation 1
Using the Cash Conversion Model, measure DOLLAR BILL'S financing cycle in both days and money ($US) using the following assumptions:

• Sales of $730,000
• Gross Margin of 30%
• Financing Rate 61/2%

Situation 2
Recent management decisions have had the following impact:

• DOLLAR BILL has renegotiated its credit line so that it has 35 days to pay its suppliers
• It now extends 45 days of credit to its customers,
• It has an inventory turnover rate of 45 days.

All other factors remain the same. Has DOLLAR BILL’S financing cycle improved or declined? Quantify the change in days and in dollars. Please show your work.

Answer 1

To solve this question just input those variables which are to be used in logistic regression, as the question talks about using two variables only that is total loans and leases to total assets & total expenses/ total assets, so we will not input total cap/assets as an input variable in our excel, here we go

As one can see, we have taken only two variables , total exp/assets and total lns & leases/ assets in calculation, follwing steps have been followed to construct the above table

1. Assume logit= b0+ b1* independent variable1+ b2* independent variable 2 , take values of b0=0.1, b1=0.1, b2=0.1, note that these values of b0, b1 and b2 are just taken for calculation, one could assume any values here for bo , b1 and b2

2. Calculate exponential of logit in the next column by using exp (value in previous column)

3. Calculate probability by using formula, probability= exp (logit)/ { 1+ exp(logit)} in the next column

4. In next column, calculate log likelihood by using formula : financial condition value (i.e. 1 or 0) * LN( probability calculated in previous column) + (1- financial condition value)* LN( 1- probability calculated in previous column)

5. take the total of the column values of log likelihood

6. use solver function in excel to change this total by putting max value of 0 and changing the variable cells containing assumed values of b0, b1 and b2 , by clicking on solve, you will get actual values of b0, b1 and b2

which comes out to be b0=-14.72, b1=89.83, b2= 8.37

therefore you will get logit as

-14.72+ 89.83* Total exp/assets+8.37*Total lns & lsses/ assets

With values given in the question as total exp/ assets= 0.11 and total loans & leases/ assets= 0.6 , we get

logit as -14.72+ 89.83* 0.11+ 8.37*0.6= 0.1833

exp (logit) = 1.20

Probability= 0.546

Loglikelihood= 1*LN(0.546)+0*LN(1-0.546)= LN(0.546)= -0.605