ASPECTS OF FINANCIAL SYSTEM Flashcards
Prone to Fail: The Pre-Crisis Financial System
Duffie, D. (2019)
What were the largest 5 investment banks in the US in the time of crisis?
Bear Stearns, Lehman Brothers, Merrill Lynch, Goldman Sachs, and Morgan Stanley
Prone to Fail: The Pre-Crisis Financial System
Duffie, D. (2019)
In broad terms, how was the government regulation of finance firms before the crisis?
A well-supervised financial system could have been more resilient to such event, but the impact on real economy was much larger than necessary.
The largest firms were permitted to have insufficient capital and liquidity relative to the risks they took.
Oversight of the capital adequacy of the largest investment banks by the Securities and Exchange Commission (SEC) was particularly lax. AIG was not effectively supervised as well.
Prone to Fail: The Pre-Crisis Financial System
Duffie, D. (2019)
Who are market makers?
A dealer in securities or other assets who undertakes to buy or sell at specified prices at all times.
E.g. sometimes if you want to sell a security, no one is willing to buy it from you (sad), thus, a market maker will buy it, and sell it sometime later, so everyone’s happy. He gets bid-ask rate as profit.
Prone to Fail: The Pre-Crisis Financial System
Duffie, D. (2019)
What are repos?
Short-term borrowing for dealers in government securities. One sells government securities to someone else, usually on an overnight basis, and buys them back the following day at a slightly higher price.
Prone to Fail: The Pre-Crisis Financial System
Duffie, D. (2019)
What are tri-party repos?
Banks deal with repos, so that two parties do not have to deal with it themselves. Cash investors held their collateral securities (overnight) at tri-party banks.
Prone to Fail: The Pre-Crisis Financial System
Duffie, D. (2019)
What is a credit crunch?
Decrease in lending by financial institutions. Usually an outcome of flight to safety, when the banks cannot pay back the money or issue new loans.
Prone to Fail: The Pre-Crisis Financial System
Duffie, D. (2019)
2 things that triggered the financial crisis.
Over-leveraged homeowners,
severe downturn in US housing markets.
Prone to Fail: The Pre-Crisis Financial System
Duffie, D. (2019)
What are the key sources of why crisis happened? (4)(fragility)
- Weakly supervised balance sheets of largest banks
- The run-prone designs
- Weak regulation of the markets for securities and OTC derivatives.
- Reliance of regulators on the market discipline.
Prone to Fail: The Pre-Crisis Financial System
Duffie, D. (2019)
Why was supervision of the banks so bad? (5)
- SEC put it as their mission to protect customers of financial firms rather than financial stability, they devoted very few resources for supervising (only 4 staff members for big firms). Investment firms actually knew this and chose SEC instead of FED.
- High difficulty level of assessing risk, derivatives and flight-proneness (everyone too dumb dumb to understand what the heck was happening)
- Everyone assigned low probabilities to disasters happening
- Reliance on market discipline
- Historical emphasis on decentralized banking system.
Prone to Fail: The Pre-Crisis Financial System
Duffie, D. (2019)
Describe credit provision in the US.
Credit provision in the US is more dependent on capital markets (where savings and investments are moved between suppliers of capital and those who are in need of capital) rather than how it’s usually done.
Prone to Fail: The Pre-Crisis Financial System
Duffie, D. (2019)
Why were repos a problem?
Capital markets in the US rely heavily on largest dealers who used short-term financing A LOT (mainly through repos). Intra-day financing (when investment bank repos expired, they repaid cash, and were in need for financing until new repos, which was provided by tri-party agent banks) created systemic risks. (2.8$ trillion were issued).
When there was a risk of solvency, cash investors could decide to not renew daily financing (not do repos anymore), thus, the other party (the one selling collateral) needs to sell it really quickly - at fire-sale prices. Also, banks would sell the collateral, as the dealer (investment bank) is not paying back cash, and the cash investors who had bought collateral would sell it too. All this is done at fire -sale (very low) prices.
Prone to Fail: The Pre-Crisis Financial System
Duffie, D. (2019)
What is a SIV?
Special Investment Vehicles. They attempt to profit from the spread between short-term debt and long-term investments by issuing commercial paper of varying maturities.
Particularly prone to runs, could have caused a complete meltdown of securities financing market. It happened in 2008, only FED and US Treasury invoked emergency lending and saved economy from an even worse state.
Prone to Fail: The Pre-Crisis Financial System
Duffie, D. (2019)
What regulations have been implemented since the crisis? (7)
- Elimination of intra-day credit provision by tri-party agent banks.
- Securities inventories are smaller - reduced need for financing
- Declining presumption of “too big to fail” has led dealer financing costs to increase, incentive to hold giant inventories is reduced.
- Tighter regulation of money funds - Reduced dependence of dealers on flight-prone financing from money market mutual funds.
- Bank capital requirements apply to all large dealers
- The two investment banks that survived, took banking charters and are regulated as banks (under FED).
- New bank liquidity coverage regulations introduced.
Prone to Fail: The Pre-Crisis Financial System
Duffie, D. (2019)
Why were OTC derivatives dangerous?
No regulations, very complex trading, no observable risk exposures. When derivatives runs happened, they drain liquidity and eliminate hedges needed by the dealer, increase in concern about creditworthiness of investment banks.
AIG had sudden heavy margin calls on credit-default-swap protection that it had provided to major dealers.
The dependence of these dealers on AIG’s performance on these credit default swaps was an important factor in the decision by the Fed and then the Treasury to rescue AIG.
Prone to Fail: The Pre-Crisis Financial System
Duffie, D. (2019)
What is a margin call?
Margin call occurs when the value of an investor’s margin account (that is, one that contains securities bought with borrowed money) falls below the broker’s required amount. A margin call is the broker’s demand that an investor deposit additional money or securities so that the account is brought up to the minimum value, known as the maintenance margin.
A margin call is usually an indicator that one or more of the securities held in the margin account has decreased in value. When a margin call occurs, the investor must choose to either deposit more money in the account or sell some of the assets held in their account.
Prone to Fail: The Pre-Crisis Financial System
Duffie, D. (2019)
What regulations have been set for OTC derivatives since the crisis?
- Increased use of CENTRAL CLEARING (clearinghouses enter a derivatives trade as the buyer to the original seller, and as the seller to the original buyer).
- -> original counterparties become insulated from each other’s default risk
- -> improves the transparency of derivatives positions
- -> enforces uniform collateral practices that are more easily supervised by regulators, all swap transactions must be reported publicly
- New REGULATORY CAPITAL REQUIREMENTS (amount of capital a bank or other financial institution has to have as required by its financial regulator)
- COMPRESSION TRADING —> fintech approach that helps to eliminate redundant sequences of derivative positions (way to reduce the number of outstanding contracts but keep the same economic exposure)
Prone to Fail: The Pre-Crisis Financial System
Duffie, D. (2019)
Why is “too big to fail” bad?
People assumed that:
1. Banks can be relied upon to provide rigorous risk control.
In reality, banks risk management were topped by going after profits.
- Markets will always self-correct.
People relied on market discipline - excessive risk taking will be limited by cost of debt financing risk of losses at insolvency. BUT, there was no plan for resolving insolvency systemically important financial firms without triggering or deepening a crisis.
People started saying that largest firms are too big to fail, government would save them - moral hazard was created.
The incentive to borrow caused by being too big
to fail and the lack of methods for safely resolving
an insolvency of any of these firms, combined
with the forbearance of regulators, created an
increasingly toxic brew of systemic risk.
Prone to Fail: The Pre-Crisis Financial System
Duffie, D. (2019)
What are the unresolved problems of the financial crisis?
- There is still no known operational planning for US government failure resolution of derivatives clearinghouses
- Regulations have forced the majority of derivatives risk into these clearinghouses, which are the new “too big to fail” financial firms
- A threat that fading memories of the costs of the last crisis will lower the resolve and vigilance of legislatures and financial regulators to monitor changes in practice and to take steps to control socially excessive risk-taking
Moore’s Law vs. Murphy’s Law: Algorithmic Trading and Its Discontents
Kirilenko, Andrew (2013)
Describe Moore’s Law in financial markets
From 1929 to 2009 the total market capitalisation of the US stock market has been doubling every decade
Moore’s Law vs. Murphy’s Law: Algorithmic Trading and Its Discontents
Kirilenko, Andrew (2013)
Describe Murphy’s Law
“whatever can go wrong will go wrong” (faster and with worse consequences when computers are involved)
Moore’s Law vs. Murphy’s Law: Algorithmic Trading and Its Discontents
Kirilenko, Andrew (2013)
What is algorithmic trading?
The use of mathematical models, computers, and telecommunications networks to automate the buying and selling of financial securities
Moore’s Law vs. Murphy’s Law: Algorithmic Trading and Its Discontents
Kirilenko, Andrew (2013)
What are (3) benefits of Algorithmic trading?
- lowering costs / scalability
- reducing human error
• increasing productivity
Moore’s Law vs. Murphy’s Law: Algorithmic Trading and Its Discontents
Kirilenko, Andrew (2013)
What major developments in the financial industry have facilitated growth of algorithmic trading? (5)
- Quantitative models in finance
- The emergence and rapid increase of index funds
- Arbitrage trading activities
- The push for lower costs of intermediation and execution
- The increase of high-frequency trading
Moore’s Law vs. Murphy’s Law: Algorithmic Trading and Its Discontents
Kirilenko, Andrew (2013)
How has quantitative finance contributed to rise of algorithmic trading? (what are the breaktrough models?)
- Portfolio Optimization Theory (Markowitz)
- CAPM
- Statistical and computational achievements
- BMS