International Financial Management (mindtap Course List)
14th Edition
ISBN: 9780357130544
Author: Jeff Madura
Publisher: Cengage Learning
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Citibank is a US Bank which lost US$500 million due to human error in August 2020. Read the case noted in the link below, and answer the following questions:
https://finopsinfo.com/investors/citis-900m-blunder-casts-light-on-poor-loan-ops/
Develop a risk management programme appropriate for this case (use attached template)
Explain how compliance to this risk management programme can prevent the operation risk issue experienced by Citibank.
Discuss the importance of an internal risk assessment and auditing process in relation to this case
Need answer correctly if image is blurr then please comment i will write values.
dont give answer with incorrect data .
i will give unhelp
Consider the following gasoline sales time series. If needed, round your answers to two decimal digits.
Week
Sales (1,000s of gallons)
1
17
2
21
3
19
4
23
5
18
6
16
7
20
8
18
9
22
10
20
11
15
12
22
(a)
Show the exponential smoothing forecasts using α = 0.1, and α = 0.2.
ExponentialSmoothing
Week
α = 0.1
α = 0.2
13
(b)
Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of α = 0.1 or α = 0.2 for the gasoline sales time series?
An smoothing constant provides a more accurate forecast, with an overall MSE of .
(c)
Are the results the same if you apply MAE as the measure of accuracy?
An smoothing constant provides a more accurate forecast, with an overall MAE of .
(d)
What are the results if MAPE is used?
An smoothing constant provides a more accurate forecast, with an overall MAPE of .
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