After completing this chapter, you will be able to do the following:
The following information relates to Questions 1–7
Viktoria Smith is a recently hired junior analyst at Aries Investments. Smith and her supervisor, Ingrid Johansson, meet to discuss some of the firm’s investments in banks and insurance companies.
Johansson asks Smith to explain why the evaluation of banks is different from the evaluation of non-financial companies. Smith tells Johansson the following:
Statement 1: As intermediaries, banks are more likely to be systemically important than non-financial companies.
Statement 2: The assets of banks mostly consist of deposits, which are exposed to different risks than the tangible assets of non-financial companies.
Smith and Johansson also discuss key aspects of financial regulations, particularly the framework of Basel III. Johansson tells Smith:
“Basel III specifies the minimum percentage of its risk-weighted assets that a bank must fund with equity. This requirement of Basel III prevents a bank from assuming so much financial leverage that it is unable to withstand loan losses or asset write-downs.”
Johansson tells Smith that she uses the CAMELS approach to evaluate banks, even though it has some limitations. To evaluate P&C insurance companies, Johansson tells Smith that she places emphasis on the efficiency of spending on obtaining new premiums. Johansson and Smith discuss differences between P&C and L&H insurance companies. Smith notes the following differences:
Difference 1: | L&H insurers’ claims are more predictable than P&C insurers’ claims. |
Difference 2: | P&C insurers’ policies are usually short term, whereas L&H insurers’ policies are usually longer term. |
Difference 3: | Relative to L&H insurers, P&C insurers often have lower capital requirements and can also seek higher returns offered by riskier investments. |
Johansson asks Smith to review key performance ratios for three P&C insurers in which Aries is invested. The ratios are presented in Exhibit 1.
Exhibit 1 Key Performance Ratios for Selected P&C Insurers
Insurer A |
Insurer B |
Insurer C |
||||
Loss and loss adjustment expense ratio | 68.8%) |
65.9%) |
64.1%) |
|||
Underwriting expense ratio | 33.7%) |
37.8%) |
32.9%) |
|||
Combined ratio | 102.5%) |
103.7%) |
97.0%) |
Johansson also asks Smith to review key performance ratios for ABC Bank, a bank in which Aries is invested. The ratios are presented in Exhibit 2.
Exhibit 2 Key Performance Ratios for ABC Bank*
2017 |
2016 |
2015 |
||||
Common equity Tier 1 capital ratio | 10.7% |
11.5% |
12.1% |
|||
Tier 1 capital ratio | 11.5% |
12.6% |
13.4% |
|||
Total capital ratio | 14.9% |
14.8% |
14.9% |
|||
Liquidity coverage ratio | 123.6% |
121.4% |
119.1% |
|||
Net stable funding ratio | 114.9% |
113.2% |
112.7% |
|||
Total trading VaR (all market risk factors) | $11.9% |
$13.9% |
$15.9% |
|||
Total trading and credit portfolio VaR | $15.9% |
$18.9% |
$21.9% |
*Note: VaR amounts are in millions and are based on a 99% confidence interval and a single-day holding period.
The following information relates to Questions 8–14
Ivan Paulinic, an analyst at a large wealth management firm, meets with his supervisor to discuss adding financial institution equity securities to client portfolios. Paulinic focuses on Vermillion Insurance (Vermillion), a property and casualty company, and Cobalt Life Insurance (Cobalt). To evaluate Vermillion further, Paulinic compiles the information presented in Exhibit 1.
Exhibit 1 Select Financial Ratios for Vermillion Insurance
Ratio | 2017 |
2016 |
||
Loss and loss adjustment expense | 59.1% |
61.3% |
||
Underwriting expense | 36.3% |
35.8% |
||
Combined | 95.4% |
97.1% |
||
Dividend | 2.8% |
2.6% |
In addition to the insurance companies, Paulinic gathers data on three national banks that meet initial selection criteria but require further review. This information is shown in Exhibits 2, 3, and 4.
Exhibit 2 Select Balance Sheet Data for National Banks—Trading: Contribution to Total Revenues
Bank |
2017 |
2013 |
2009 |
2005 |
||||
N-bank | 4.2% |
7.0% |
10.1% |
8.9% |
||||
R-bank | 8.3% |
9.1% |
17.0% |
7.9% |
||||
T-bank | 5.0% |
5.0% |
11.9% |
6.8% |
Focusing on N-bank and T-bank, Paulinic prepares the following data.
Exhibit 3 2017 Select Data for N-bank and T-bank
N-bank |
T-bank |
|||||||
2017 |
2016 |
2017 |
2016 |
|||||
Average daily trading VaR ($ millions) | 11.3 |
12.6 |
21.4 |
20.5 |
||||
Annual trading revenue/average daily trading VaR | 160× |
134× |
80× |
80× |
Paulinic investigates R-bank’s risk management practices with respect to the use of credit derivatives to enhance earnings, following the 2008 financial crisis. Exhibit 4 displays R-bank’s exposure over the last decade to credit derivatives not classified as hedges.
Exhibit 4 R-bank’s Exposure to Freestanding Credit Derivatives
Credit Derivative Balances | 2017 |
2012 |
2007 |
|||
Notional amount ($ billions) | 13.4 |
15.5 |
305.1 |
All of the national banks under consideration primarily make long-term loans and source a significant portion of their funding from retail deposits. Paulinic and the rest of the research team note that the central bank is unwinding a long period of monetary easing as evidenced by two recent increases in the overnight funding rate. Paulinic informs his supervisor that:
Statement 1: Given the recently reported stronger-than-anticipated macroeconomic data, there is an imminent risk that the yield curve will invert.
Statement 2: N-bank is very active in the 30-day reverse repurchase agreement market during times when the bank experiences significant increases in retail deposits.
The following information relates to Questions 15–20
Judith Yoo is a financial sector analyst writing an industry report. In the report, Yoo discusses the relative global systemic risk across industries, referencing Industry A (international property and casualty insurance), Industry B (credit unions), and Industry C (global commercial banks).
Part of Yoo’s analysis focuses on Company XYZ, a global commercial bank, and its CAMELS rating, risk management practices, and performance. First, Yoo considers the firm’s capital adequacy as measured by the key capital ratios (common equity Tier 1 capital, total Tier 1 capital, and total capital) in Exhibit 1.
Exhibit 1 Company XYZ: Excerpt from Annual Report Disclosure
At December 31 | 2017 |
2016 |
2015 |
|||
Regulatory capital | $m |
$m |
$m |
|||
Common equity Tier 1 capital | 146,424 |
142,367 |
137,100 |
|||
Additional Tier 1 capital | 22,639 |
20,443 |
17,600 |
|||
Tier 2 capital | 22,456 |
27,564 |
38,200 |
|||
Total regulatory capital | 191,519 |
190,374 |
192,900 |
|||
Risk-weighted assets (RWAs) by risk type | ||||||
Credit risk | 960,763 |
989,639 |
968,600 |
|||
Market risk | 44,100 |
36,910 |
49,600 |
|||
Operational risk | 293,825 |
256,300 |
224,300 |
|||
Total RWAs | 1,298,688 |
1,282,849 |
1,242,500 |
Yoo turns her attention to Company XYZ’s asset quality using the information in Exhibit 2.
Exhibit 2 Company XYZ: Asset Composition
At December 31 | 2017 |
2016 |
2015 |
|||
$m |
$m |
$m |
||||
Total liquid assets | 361,164 |
354,056 |
356,255 |
|||
Investments | 434,256 |
367,158 |
332,461 |
|||
Consumer loans | 456,957 |
450,576 |
447,493 |
|||
Commercial loans | 499,647 |
452,983 |
403,058 |
|||
Goodwill | 26,693 |
26,529 |
25,705 |
|||
Other assets | 151,737 |
144,210 |
121,780 |
|||
Total assets | 1,930,454 |
1,795,512 |
1,686,752 |
To assess Company XYZ’s risk management practices, Yoo reviews the consumer loan credit quality profile in Exhibit 3 and the loan loss analysis in Exhibit 4.
Exhibit 3 Company XYZ: Consumer Loan Profile by Credit Quality
At December 31 | 2017 |
2016 |
2015 |
|||
$m |
$m |
$m |
||||
Strong credit quality | 338,948 |
327,345 |
320,340 |
|||
Good credit quality | 52,649 |
54,515 |
54,050 |
|||
Satisfactory credit quality | 51,124 |
55,311 |
56,409 |
|||
Substandard credit quality | 23,696 |
24,893 |
27,525 |
|||
Past due but not impaired | 2,823 |
2,314 |
2,058 |
|||
Impaired | 8,804 |
9,345 |
10,235 |
|||
Total gross amount | 478,044 |
473,723 |
470,617 |
|||
Impairment allowances | –5,500 |
–4,500 |
–4,000 |
|||
Total | 472,544 |
469,223 |
466,617 |
Exhibit 4 Company XYZ: Loan Loss Analysis Data
At December 31 | 2017 |
2016 |
2015 |
|||
$m |
$m |
$m |
||||
Consumer loans | ||||||
Allowance for loan losses | 11,000 |
11,500 |
13,000 |
|||
Provision for loan losses | 3,000 |
2,000 |
1,300 |
|||
Charge-offs | 3,759 |
3,643 |
4,007 |
|||
Recoveries | 1,299 |
1,138 |
1,106 |
|||
Net charge-offs | 2,460 |
2,505 |
2,901 |
|||
Commercial loans | ||||||
Allowance for loan losses | 1,540 |
1,012 |
169 |
|||
Provision for loan losses | 1,100 |
442 |
95 |
|||
Charge-offs | 1,488 |
811 |
717 |
|||
Recoveries | 428 |
424 |
673 |
|||
Net charge-offs | 1,060 |
387 |
44 |
Finally, Yoo notes the following supplementary information from Company XYZ’s annual report: