Annexure 3: Case Studies

Practical Applications and Real-World Analysis

Choose Your Learning Experience

🎬

Watch Overview

Visual walkthrough of case study methodology

Visual Demo HD Quality
🎧

Audio Commentary

Key examination tips and practice question strategies

Expert Tips Exam Strategy

🎧 Expert Commentary: Case Studies & Exam Tips

Key examination tips and practice question strategies

Learning from History: Learning, unlearning and relearning is a continuous process. Further, one can learn from their own experiences or experiences of others. As life is too short to learn everything from one's own experiences and his circle of understanding and influence is anyway very tiny, it is wiser to learn from experiences of others and historical events, which are very well documented in the historical cases.

History, indeed, is a great teacher, especially in the Financial Markets. If one doesn't learn from historical events in Financial Markets, he tends to repeat those mistakes. However, it is also interesting to quote a great philosopher 'Mark Twain' here who stated "We learn from the past that we don't learn from the past."

Couple of cases from the history are captured here for contemplation. Each of them would need a lot more research on the subject, if he/she intends to go into details of them:

Learning from history β€” studying landmark market failures builds the disciplinary and self-regulatory habits essential for every research analyst
Learning from history β€” landmark market failures teach research analysts the disciplinary and self-regulatory habits that protect investors and markets

Case 1 - Barings Episode

Background

The man behind the debacle, Nicholas Leeson, had well established track record of being a savvy operator in the derivatives market and was the favourite of the top management at the Barings' headquarters at London. He was the head - derivatives trading, responsible for both front and back office, at Barings Futures, Singapore (BFS), a subsidiary of Barings Plc., London.

Nicholas Leeson at Barings Futures Singapore (BFS) β€” head of derivatives trading with combined front and back office control, a fatal conflict of interest
Nicholas Leeson at Barings Futures Singapore β€” dual control of front and back office eliminated the checks and balances that should have caught his unauthorised trading

Leeson engaged himself in proprietary trading on Tokyo Stock Exchange Index, Nikkei 225. He was operating simultaneously on Singapore Exchange – Derivatives Trading Ltd., (SGX – DT) (erstwhile Singapore International Monetary Exchange, SIMEX), Singapore and Osaka Securities Exchange (OSE), Japan in Nikkei 225 futures and options. A major part of Leeson's trading strategy involved the sale of options on Nikkei 225 index futures contracts. He had sold large number of options straddles (a strategy that involves simultaneous sale of both call and put options) on Nikkei 225 index futures. Without going into intricacies, it may be understood that this straddle position results in loss, if market moves in either direction (up or down) drastically. His strategy amounted to a bet that Japanese Stock Market would neither fall nor go up, substantially i.e. he had the stable price perspective towards Japanese Market.

The options straddle strategy β€” simultaneous sale of call and put options profits in stable markets but suffers accelerating losses on any sharp directional price move
Leeson's straddle β€” selling both calls and puts profits only if Nikkei 225 stays stable; any large move in either direction creates losses on both legs simultaneously

The Crisis

The Japanese stock markets started falling on the news of a violent earthquake in Kobe, Japan. With futures on Nikkei 225 going down, his straddle position started incurring loss. In pursuit of profit from his straddles, he started supporting the index by building up extraordinarily huge long positions in Nikkei 225 futures on both the said exchanges SGX – DT and OSE. However, the management of Barings was made to understand that Leeson was doing Nikkei 225 index futures arbitrage between SGX-DT and OSE.

When OSE authorities raised alarm about his huge long positions on the exchange in Nikkei 225 futures, he claimed that he had built up exactly opposite positions in Nikkei 225 on SGX - DT i.e. if his positions in Nikkei 225 at OSE suffer losses, these losses would get compensated by the profits of his positions at SGX - DT. Similar impression was given to the SGX - DT authorities, when they enquired about Leeson's positions.

Leeson kept giving misleading information to both the exchanges and neither of the exchanges bothered to crosscheck Leeson's positions on the other exchange because they were competing for business in Nikkei 225. Both the exchanges were more concerned about the protection of their financial integrity than anything else and so, allowed even the exceptionally large positions to Leeson after securing adequate margins.

The result is known to everyone. Single operator could not take the market in his desired direction and market fell down drastically. Resultantly, Barings blasted by registering losses on Leeson's both futures and straddle positions. But, we may see that its fire did not touch the financial integrity of either of the markets, SGX – DT or OSE because markets were absolutely safe through proper margining.

Barings collapse timeline: Kobe earthquake β†’ Nikkei 225 falls β†’ straddle losses mount β†’ Leeson buys massive Nikkei futures β†’ SGX-DT and OSE fail to cross-check β†’ Barings bankrupt
Barings collapse cascade β€” the Kobe earthquake triggered a chain reaction that exposed Leeson's deception and wiped out one of Britain's oldest merchant banks

Issues behind the debacle & learning from the experience

1. Single operator can't move the market:

Leeson was trying to drive the prices in upward direction by buying index futures on Nikkei 225, but could not succeed as market was gripped in the negative sentiments generating from earthquake in Kobe. The point here is that single operator can't change the direction of the market and it is always prudent to live with the market movement, strategically. In the instant case, better strategy for Leeson would have been the dynamic management of his portfolio. For instance, with decreasing value of index, his put leg of the straddle started incurring losses (call was to expire worthless), and he had the choice to square his put options off at the pre-determined level (cut off loss strategy). Leeson, instead of squaring off his short put option position chose to support the index price through buying futures on Nikkei 225 and failed.

2. Traders should have clearly defined and well-communicated position limits:

Position limits mean the limits set by the top management for each trader in the trading organization. These limits are defined in various forms like with regard to a product, a market or trader's total exposure in the market etc. Any laxity at this front may result in unbearable consequences to the trading organization. These limits should be clearly defined and well communicated to all traders in the organization.

Position limits in a trading organisation β€” defined per product, per market, and per total exposure; laxity in enforcement leads to catastrophic consequences
Lesson 2: Position limits must be clearly defined and communicated β€” Leeson had limits set by top management but crossed every one of them without detection

3. Meticulous monitoring of the position limits is a must:

One can learn on research that Leeson too had position limits set by the top management, but he crossed all of them. This attempt of outpacing limits by Leeson did not come to the notice of top brass at Barings as he himself was supervising the back office operations at BFS. It is understood that he had sent fictitious reports concerning his trading activities to the Barings' headquarters in London. Had the top management known the real position, probably, the disaster could have been avoided.

Therefore, scrupulous monitoring of the position limits is as important as setting them. Top management's job of monitoring the positions of each dealer in the dealing room may be facilitated by bifurcating the front and back office operations. Different people should be in charge of front and back office operations so that any exposure of dealers, over and above the limits set for them, can be detected immediately. This is the issue of having proper checks and balances at various levels to ensure that everyone in the organization has disciplinary approach and work within the set limits. In fact, trading systems should be capable enough to automatically disallow traders any enhancement in their exposures as soon as they touch their pre-determined limits.

4. Exchanges should share information on large positions:

Both the competing exchanges SGX – DT and OSE were not concerned about checking Barings' position at the other exchange. Well, both the exchanges were safe through margins, but everyone would appreciate that the effect of a big failure, like Barings, goes much beyond the financial integrity of a system. An important point to note is that the Exchanges should compete but at the same time co-operate and share the information, which may shake the entire financial system. Further, it is important from the point of view of deterring any price manipulation effort, which a member of two exchanges can make by using two independent systems.

5. Big Institutions are as prone to risk as individuals:

One broad issue from the overall market's perspective is that big Institutions are as prone to incurring losses in the derivatives market as any other individual. Therefore, irrespective of the entity, margins should be collected by the Clearing Corporation/ house and/ or exchange that too on time. Only, timely collection of the margins can protect the financial integrity of the market as seen in the Barings case.

Above-mentioned points 1 to 3 are relevant to the trading organizations in derivatives market. They have to intelligently work in-house to avoid any miss-happening like Barings at any point in time. Point 4 is relevant to the exchanges and they should work in collaborative manner and improve inter exchange communication and co-ordination. With regard to the point 5, SEBI has done a good job in the Indian derivatives market by making margins universally applicable to all categories of participants including Institutions. This provision will go a long way to create a financially safe derivatives market in India.

Barings lessons 3–5: meticulous limit monitoring requires front/back office separation; exchanges must share information on large positions; universal margins apply to institutions and individuals alike
Lessons 3–5 from Barings β€” independent back-office oversight, inter-exchange information sharing, and margin universality are the three structural safeguards derivatives markets need

Conclusion

In view of the above, Barings episode may be summarized by stating that "Barings' failure was not the derivatives failure, it was management's failure". After the enquiries in Barings case, the Board of Banking Supervision's report also placed responsibility for the Barings' debacle on poor operational controls (operational risk) at Barings rather than the use of derivatives. Important learning from the entire episode is that we all have to have a disciplinary and self-regulatory approach. The moment, one go against this fundamental rule, this leveraged market may threaten his very existence and reduce him to absolute ashes.

Post Barings episode, operational risk became glaring and financial organizations across the world started clearly demarcating front and back office operations. Further, regulators drove the competing exchanges to work in a close manner and share information, which could threaten the existence of the financial markets. Also, in markets today, all positions, irrespective of the owner, are margined to recognize that institutions are as prone to risk as individuals. In nutshell, Barings episode taught significant stuff on operational risk front to the Financial Markets across the world.

The Barings verdict β€” the Board of Banking Supervision placed responsibility squarely on operational risk and management failure, not on derivatives as instruments

Case 2 - Credit Event of 2008 and impact on Financial Markets

The Setup

Let us hire a sales person in the Mortgage business in a bank. He has just joined on retail side with responsibility to drive the housing finance book of the bank. He spends time thinking and analyzing the data and recommends the following as strategy to fire up the sales/loan book:

  • Bank may approach less credit worthy guys to expand the market.
  • Bank may dilute Loan to Value (LTV) parameter to go say from 80:20 to 85:15 rule on lending (80% or 85% being loan amount against the value of asset).
  • This could, indeed, expand bank's net interest margins (NIMs) as extending credit to less credit worthy guys would fetch the bank higher interest rates.

Assuming, the bank in pursuit of expanding its loan book, follows his said recommendations. Let's see what happens then.

What Actually Happened

Actually, the banks followed exactly the above thought process starting 2003-2004 to the culmination of credit event in 2008. Competing banks kept diluting their standards on loan to value ratio to tap the further lower credit quality customers. As higher margins were coming in, business looked quite attractive to the bankers. Only thing all bankers were ignoring was the risk of potential default on this loan book.

Whenever bankers were asked about the credit or default risk on the subject, they indicated towards the continuously increasing real estate prices. Argument was simple that if borrowers don't pay, we run little risk of recovery given the continuously rising prices of real estate. They never imagined the situation of real estate prices going down along with defaults on loan. It was a typical case of bankers taking view on real estate, which is not their job. Should we call it going beyond their jobs or call it complete disregard for the risk management on an asset portfolio (mortgage book).

2008 credit crisis origins: banks diluted LTV standards (80:20 β†’ 85:15) to chase higher NIMs from less creditworthy borrowers, ignoring mounting default risk
How the 2008 crisis was seeded β€” competing banks raced to dilute loan-to-value standards and extend credit to riskier borrowers, betting indefinitely on rising real estate prices

The Securitization Game

Banking looked quite simple – put the liabilities and put the assets; keep growing the books with increasing Net Interest Margins (NIMs). But, then came the issue of supply of capital. To lend more, one needed to borrow more. Supply of capital became a constraint to the growth. Creative bankers found the solution in terms of selling some assets to get cash, which can be further lent.

Bankers found it interesting to sell long dated mortgage assets to investors at a yield lower than their own yields. This means selling assets at premium to their face value. Good for the bankers as they recognized the profits on sale of long dated assets at the time of sale itself. This also meant higher bonuses for the bankers. Now, bankers found an interesting opportunity to generate assets, sell them at lower yield (book capital gains on that) to generate cash and further lend that cash to grow. Indeed, slowly and slowly they stopped bothering about the credit quality of mortgage buyers as long as there were investors in those originated mortgage assets available - a clear risk of moral hazard. For banks, mortgage business turned to be kind of fee based business from lending (balance sheet based business).

The securitisation cycle β€” banks originate mortgages, sell to investors at a premium, recycle capital, lend again; moral hazard emerges as credit quality becomes irrelevant to the originator
The securitisation machine β€” originate, sell, and repeat: banks shifted from balance-sheet lenders to fee-collecting originators, losing all incentive to care about borrower creditworthiness

The Borrowers' Perspective

Let's understand perspective of house buyers/owners. They started looking at buying assets as call options (right to buy). They had very little or nothing at risk as competing banks were offering them almost 100% financing option. Their thought was quite clear and simple - If prices of assets go up, they could sell the house and repay to the bankers with some profits left for them; and, if prices of assets go down, they would turn the keys to the bankers. Clearly, there were lots of takers for the mortgages with these dynamics of finance.

As long as prices continue to climb, there was vibrancy all around. However, when prices of assets started to stumble, banks started encountering more and more defaults from the buyers/owners. It came like a falling pack of cards, when things turned bad.

The Investors' Role

Let's turn to the side of investors for mortgaged backed securities. Investors had money but no origination point. As banks had large machinery for origination of mortgages, it was a perfect marriage between banks and investors (funds). Banks would originate mortgages and turn the portfolio to funds at an origination price (discount on the mortgage rate). Investors also sold those assets to the other investors at lower yields and the process continued. Like in the game of passing the pillow, funds, which owned these mortgage assets last were the ones to be penalized by the event. They found themselves sitting on the assets, where prices fell sharply to couple of cents to the $ face value.

The 'passing the pillow' game β€” mortgage-backed securities passed through successive investors at ever-lower yields; those holding them last when prices collapsed lost nearly everything
Investors in the 'passing the pillow' game β€” funds that held mortgage assets longest when the market turned found prices collapse to cents on the dollar

The Rating Agencies

It is also interesting to touch rating of these mortgage backed securities. Credit rating agencies always believed in the great quality of these securities, specially, given the fact that these were backed by the hard assets and history on the subject. Most of these mortgage backed securities were accordingly rated highest grade (AAA kind of). Investors/funds of these papers relied heavily on the ratings by rating agencies in absence of their own capability or bandwidth to do the work on credit quality. Prima facie, we may also state that credit rating agencies did not understand the risks in these assets properly.

In addition to above all, there were lots of credit derivatives being written on these mortgaged backed securities by several institutions. Institutions were taking both trading and hedging positions on these securities in the credit derivatives market.

AAA-rated but toxic β€” credit rating agencies awarded highest grades to mortgage-backed securities based on historical data, amplifying the crisis when those models proved catastrophically wrong
Credit rating agencies' AAA misjudgement β€” historical mortgage default models failed to anticipate simultaneous price decline and mass default, giving false confidence to investors worldwide

Learnings from the event:

Banks' Responsibility: Banks' attitude may be summarized as a perfect combination of aggression, competitive spirit, view on assets, complete disregard for risk management, moral hazard etc. etc. Banks, being a leveraged entity, must behave in a very disciplined manner all the time. They are into business of lending and not taking calls on the prices of assets. Also, risk management is the heart of the banking operations and competing banks should never dilute their risk management standards in pursuit of higher levels of business.

Investors' Due Diligence: Investors should behave rationally. They should do their independent due diligence in addition to their reliance on third parties such as credit rating agencies. One question investors should ask continuously is "what could go wrong here."

Don't Rely Solely on Historical Data: While history is important, decisions can't be taken purely on the basis of historical data. Credit rating agencies relied heavily on the historical understanding of mortgage markets. While, one should learn from the past, current situation should be analysed independently with facts and figures in hands. While credit rating agencies are liable to a large extent for 2008 event (highest rating of these securities AAA kind off attracted many buyers and sellers to these securities), we never saw any credit rating agency in the world standing up to own the responsibility ever.

Respect Limitations and Black Swan Events: One more thing we learn from this event is that we should respect our limitations on understanding markets. As Dr. Nicholas Taleb mentions "Black Swan events pose significant risk in this integrated world". Therefore, risk management should be paramount for institutions in all the situations.

2008 learnings: bank discipline over aggression, independent investor due diligence beyond rating agencies, and respect for Black Swan tail risks (Taleb) that historical data cannot anticipate
Four lessons from 2008 β€” disciplined bank behaviour, independent due diligence, not over-relying on historical data, and humility about Black Swan risks in an integrated world

Some more case studies:

Warren Buffett once stated: "People with pen do much bigger thefts than the people with guns."

Financial markets and businesses appear to be filled with many such stories. Many individuals in the world of business and finance found it difficult to resist the temptation of opportunities to cheat even at the cost of their own reputation and potential downfall.

Over the years, many promoters of "Wall Street darling companies" have breached the trust of the general public to satisfy their own hunger for money and power. Fund managers have also cheated their investors with the means beyond anyone's imagination. Here are some of the stories from the recent past for your contemplation.

Financial market fraud β€” from accounting manipulation to Ponzi schemes, the recurring pattern of greed overcoming discipline, ethics, and investor trust
"People with pen do much bigger thefts than people with guns" β€” Warren Buffett's observation rings true across decades of corporate and fund manager fraud

Disgraced companies/institutions

Enron:

Enron was an incredibly energetic, innovative and creative company in power trading space. Allegations of massive accounting fraud wiped out $78 billion in stock market value of the energy company and resulted in its bankruptcy in 2001. Former President Jeff Skilling is serving a 24 years rigorous imprisonment in jailon charges of accounting frauds and manipulations.

WorldCom:

WorldCom, a telecom giant, also went through the manipulation of financials and fraud by its top management team. The 2002 fraud-induced bankruptcy of this company wiped out a firm that once had more than $100 billion in assets on its books. Former CEO Bernard Ebbers was convicted of fraud and is doing 25 years in federal prison.

Satyam Computers:

Promoter of Satyam, Ramalinga Raju confessed in 2009 that he had cooked up the accounts of Satyam Computers and that the cash and bank balances were inflated by ~Rs 5,000 crore, after a failed attempt to acquire promoters' owned another company Maytas. Investors lost millions as the stock came crashing after the news was out. Raju was put behind bars with multiple charges including fraud and manipulation. Satyam Computers has since been acquired by Tech Mahindra.

Corporate fraud hall of shame: Enron ($78B wiped, Jeff Skilling 24 years), WorldCom ($100B+ in assets, Bernard Ebbers 25 years), Satyam Computers (Rs 5,000 crore inflated, Ramalinga Raju jailed)
Enron, WorldCom, Satyam β€” three landmark corporate fraud cases where top management manipulated accounts and destroyed billions in shareholder value

Disgraced Fund Managers

Bernard Madoff:

New York money manager Bernard Madoff orchestrated $65 billion Ponzi scheme, largest financial fraud in the history of the United States, and got exposed in December 2008. In June 2009, 71-year-old Madoff was sentenced to 150 years in prison on 11 counts of fraud, money laundering and theft.

Michael Milken:

In the mid-1980s, Michael Milken of Drexel, an investment banking firm, was known as "Junk Bond King". But insider trading brought the house down and left Drexel fighting bankruptcy. Milken was sentenced to 10 years in prison. He paid a significant $600 million fine.

Raj Rajaratnam:

In 1997, billionaire Sri Lankan-American businessman Raj Rajaratnam co-founded hedge fund management company Galleon Group. In October 2009, he was arrested and charged with several cases of insider trading. In October 2011, he received a sentence of 11 years in prison, pay a $10 million fine and order to relinquish assets worth ~$50 million.

Disgraced fund managers: Madoff ($65B Ponzi, 150 years), Michael Milken (Junk Bond King, insider trading, $600M fine), Raj Rajaratnam (Galleon Group, 11 years, $50M relinquished)
Madoff, Milken, and Rajaratnam β€” three fund managers whose insider trading and fraud remind us that no position or reputation is immune to the consequences of ethical failure

πŸƒ Flashcards

63 cards Β· click to reveal the answer Β· use search to focus on a topic

According to the philosopher Mark Twain, what do we learn from the past?
We learn that we don't learn from the past.
click to reveal
Who was the derivatives trader responsible for the collapse of Barings Bank?
Nicholas Leeson
click to reveal
At which subsidiary of Barings Plc. was Nicholas Leeson the head of derivatives trading?
Barings Futures, Singapore (BFS)
click to reveal
Which stock market index was the primary focus of Nicholas Leeson's proprietary trading?
Nikkei 225
click to reveal
An options strategy involving the simultaneous sale of both call and put options is called a _____.
Straddle
click to reveal
Nicholas Leeson's straddle strategy was essentially a bet on which market condition?
A stable price perspective with no substantial price movement.
click to reveal
Which natural disaster in 1995 caused the Nikkei 225 to fall and ruined Leeson's straddle position?
Kobe earthquake
click to reveal
How did Nicholas Leeson attempt to support the falling Nikkei 225 index?
By building up extraordinarily huge long positions in futures contracts.
click to reveal
What false claim did Leeson make to OSE authorities to explain his large long positions?
He claimed he had built up exactly opposite positions on the SGX-DT.
click to reveal
Why did the SGX-DT and OSE fail to cross-check Leeson's trading positions?
They were competing for business and focused primarily on their own margins.
click to reveal
What is the primary lesson regarding the ability of a single operator to move a large market?
A single operator cannot change the direction of the market against negative sentiment.
click to reveal
The 'cut off loss strategy' involves squaring off a losing position at a _____.
Pre-determined level
click to reveal
What are the specific constraints set by top management for a trader's exposure called?
Position limits
click to reveal
Why did Leeson's breach of position limits go unnoticed by Barings' top management?
He was supervising both the front and back office operations at BFS.
click to reveal
What organizational structure is recommended to facilitate the monitoring of dealer positions?
Bifurcation of front and back office operations.
click to reveal
According to the Barings case, why should competing exchanges share information on large positions?
To deter price manipulation and protect the overall financial system.
click to reveal
Which regulatory body in India implemented universal margins for all participants, including institutions?
SEBI
click to reveal
The Board of Banking Supervision concluded that Barings' failure was due to _____ rather than derivatives.
Poor operational controls (operational risk)
click to reveal
In the lead-up to the 2008 crisis, what did banks dilute to expand their loan books?
Loan to Value ($ LTV $) parameters.
click to reveal
How does lending to less creditworthy borrowers theoretically affect a bank's $ NIM $?
It expands the $ \text{Net Interest Margin} $ by fetching higher interest rates.
click to reveal
What false assumption did bankers make to ignore the default risk on mortgage books before 2008?
Real estate prices would continue to rise indefinitely.
click to reveal
The process of selling long-dated mortgage assets to investors to generate cash for new lending is called _____.
Securitization
click to reveal
Why did securitization create a 'moral hazard' for banks?
Banks stopped caring about borrower credit quality as long as investors bought the assets.
click to reveal
Before 2008, borrowers with $ 100\% $ financing viewed buying a house as equivalent to a _____ option.
Call
click to reveal
Which entities in the 'passing the pillow' game of mortgage assets were penalized when prices fell?
Funds and investors who owned the assets last.
click to reveal
What was the typical credit rating given to most mortgage-backed securities prior to the 2008 crash?
Highest grade ($ AAA $)
click to reveal
What was the primary failure of credit rating agencies during the 2008 credit event?
They relied too heavily on historical data and failed to understand the current risks.
click to reveal
Why should investors perform independent due diligence rather than relying solely on rating agencies?
To identify potential risks that third parties may have missed or misunderstood.
click to reveal
Which author and concept warns that significant risks in the integrated world come from 'Black Swan events'?
Dr. Nicholas Taleb
click to reveal
Warren Buffett once stated that people with a _____ do much bigger thefts than people with guns.
Pen
click to reveal
Which power trading company collapsed in 2001 following allegations of massive accounting fraud?
Enron
click to reveal
Who was the President of Enron sentenced to prison for accounting fraud and manipulation?
Jeff Skilling
click to reveal
The collapse of Enron wiped out approximately how much in stock market value?
$ \$78 \text{ billion} $
click to reveal
Which telecom giant's 2002 bankruptcy wiped out more than $ \$100 \text{ billion} $ in assets?
WorldCom
click to reveal
Who was the CEO of WorldCom convicted of fraud and sentenced to 25 years in prison?
Bernard Ebbers
click to reveal
Which Indian company's promoter confessed in 2009 to inflating cash and bank balances by $ \text{Rs } 5,000 \text{ crore} $?
Satyam Computers
click to reveal
Who was the promoter of Satyam Computers behind the accounting manipulation?
Ramalinga Raju
click to reveal
Which company acquired Satyam Computers after the exposure of its accounting fraud?
Tech Mahindra
click to reveal
Who orchestrated the largest Ponzi scheme in U.S. history, totaling $ \$65 \text{ billion} $?
Bernard Madoff
click to reveal
What was the prison sentence handed to Bernard Madoff in 2009?
150 years
click to reveal
Which investment banker was known as the 'Junk Bond King' in the mid-1980s?
Michael Milken
click to reveal
At which investment banking firm did Michael Milken work before his conviction for insider trading?
Drexel
click to reveal
Who co-founded the Galleon Group and was sentenced to 11 years for insider trading in 2011?
Raj Rajaratnam
click to reveal
How much in assets was Raj Rajaratnam ordered to relinquish following his conviction?
Approximately $ \$50 \text{ million} $
click to reveal
What is the primary lesson regarding institutions and risk in the derivatives market?
Big institutions are as prone to incurring losses as individuals.
click to reveal
Why is the timely collection of margins critical for market exchanges?
It protects the financial integrity of the market system.
click to reveal
The Barings debacle emphasizes that leveraged markets can threaten existence if users lack a _____ approach.
Disciplinary and self-regulatory
click to reveal
What strategy did Nicholas Leeson fail to use when his put options began incurring losses?
Dynamic portfolio management (squaring off at pre-determined levels).
click to reveal
In a mortgage $ LTV $ ratio of $ 85:15 $, what does the $ 85 $ represent?
The loan amount as a percentage of the asset's value.
click to reveal
Banks turned the mortgage business into a _____-based business from a lending-based business through securitization.
Fee
click to reveal
Why did investors/funds rely on credit rating agencies during the mortgage security boom?
They lacked the independent capability or bandwidth to analyze credit quality.
click to reveal
A perfect combination of aggression, competitive spirit, and disregard for risk management describes the attitude of _____ before 2008.
Banks
click to reveal
According to the source, why is it wiser to learn from historical events rather than just one's own experience?
Life is too short and one's circle of understanding is too tiny to learn everything personally.
click to reveal
Post-Barings, what operational change became global standard to prevent unauthorized trading?
Clearly demarcating front and back office operations.
click to reveal
Which company attempt to acquire Maytas led to the exposure of the Satyam fraud?
Satyam Computers
click to reveal
How much was the fine Michael Milken paid following his insider trading conviction?
$ \$600 \text{ million} $
click to reveal
Concept: Moral Hazard
Definition: A situation where an entity takes risks because the costs of those risks will not be borne by the entity.
click to reveal
True or False: The Barings failure was caused by the inherent nature of derivatives themselves.
False (it was a management and operational failure).
click to reveal
What was the result for investors when the Satyam accounting fraud was revealed?
The stock crashed and investors lost millions.
click to reveal
What is the recommended question investors should ask continuously when evaluating an asset?
"What could go wrong here?"
click to reveal
What did bankers ignore while focusing on high margins from less creditworthy borrowers?
The risk of potential default on the loan book.
click to reveal
What happened to the value of mortgage assets held by funds when the 2008 credit event peaked?
Prices fell sharply to a few cents on the dollar.
click to reveal
In the context of the Barings case, what does 'financial integrity' of the exchange refer to?
The protection of the exchange's solvency and clearing systems through margining.
click to reveal
Previous Annexure
← Complaint Format
Annexure 3 of 3
Case Studies
Course Complete
End of Course β†’

Source Attribution

This comprehensive educational content is derived from the NISM-Series-XV: Research Analyst Certification Examination Workbook (June 2025 version), published by the National Institute of Securities Markets.

← πŸ“‹ β†’
↑