Advent Calendar Day 4 Taking a Chance with Quant Finance Answers
1. Marking Some Milestones
Match the authors and their models or major concepts with the dates.
a. Thorp – dynamic hedging/options – k. 1968
b. Ho and Lee – yield curve fitting/calibration – l. 1986
c. Bachelier – Random Walks – h. 1900
d. Cox Ross Rubinstein – option pricing simplified – g. 1979
e. Li – Copulas – b. 2000
f. Brown – Brownian motion – d. 1827
g. Fama – Efficient Market Hypothesis – a. 1966
h. Heath Jarrow Morton – yield curves – f. 1992
i. Markowitz – Modern Portfolio Theory – i. 1952
j. Vasicek – short-term interest rates – j. 1977
k. Ito – Ito calculus – e. 1951
l. Black Scholes Merton – option pricing – c. 1973
2. Put–Call Parity Gone Wrong
What is wrong with this not-quite put-call parity equation?
C – K e-r(T-t) = S – P
I switched the K term and the P term, so now it reads:
Call price minus Strike price = Stock price minus Put price
Put-Call Parity should be written as:
C – P = S –K e-r(T-t)
3. Flavors of VaR
Value-at-Risk is one of the most common measures of risk and has spawned several variants.
Which of the following is not a legitimate type of VaR? (At least not yet!)
a. Conditional VaR (CVaR)
b. Marginal VaR (MVaR)
c. Range VaR (RVar)
d. Double Volatility VaR (DVVaR)
e. Liquidity VaR (LVaR)
Possibly a good one for the future though!
4. LIBOR and Its Discontents
Following the highly publicized fixing scandal in 2011/2012, quants went to work on replacing the tarred and feathered LIBOR, with the full phase-out completed in 2023. Which of the models below was not one of the contenders?
a. SOFR
b. SONIA
c. €STR
d. SAURON
e. TONAR
SARON stands for the Swiss Average Rate Overnight, but SAURON is returning to The Lord of the Rings where he belongs!
5. Hedge Fund History: LTCM, 1998
Some hedge funds sagas are so dramatic that numerous papers are written about them. A few even merit books, if not movies. (Would you go to see a movie about LTCM? I would!) In 1998, this was a big deal and still ranks among the most impressive implosions of the 20th century. There were several factors to blame, but which of the following was not a cause of LTCM’s collapse?
a. Russian default
b. Use of leverage
c. The Japanese Yen carry trade
d. Model risk
e. The Royal Dutch Shell trade
LTCM was somewhat affected by the Asian Crisis in 1997, before the real trouble began with the Russkies, but the JPY carry trade did not play a role in that.
6. Hedge Fund History: The Flash Crash of 2010
Twelve years after the LTCM debacle, an even more dramatic event roiled the markets. On May 6, 2010, a “flash crash” took place, with the Dow dropping almost 1,000 points (9%) in just over 30 minutes. Though there was a surprisingly quick rebound the same day, naturally there were investigations, and the SEC/CFTC issued a 104-page report containing controversial explanations later that year. For our purposes here, approximately how much money was “lost” during the crash?
a. $500 million
b. $5 billion
c. $50 billion
d. $500 billion
e. $1 trillion
Would you believe? It makes LTCM look like a game of Tiddly Winks.
7. Measuring Your Performance
All of the following are features of the Sharpe ratio, except one. Which one is fictitious?
a. It compares a fund’s historical returns with a benchmark.
b. It relies on a risk-free rate.
c. The formula calculates volatility via standard deviation and is based on a normal distribution.
d. It handles negative skewness and high kurtosis well.
e. It is one of the most popular methods for measuring performance today.
Sad, but true. Long Live the People of the Schwarzer Schwan!
8. Chasing the Quantum Dream
Several frameworks and programming languages have been designed for quantum computing, with more on the way, no doubt. However, surveying the field right now, which of these is not a current option for your QC projects?
a. Qiskit
b. Cirq
c. Penny Lane
d. Qlicious
e. Q#
Qlicious does look delicious from a QC marketing standpoint, but I made it up!
Of the ones that are real, match them with the entity associated with them.
a. Microsoft – e. Q#
b. Xanadu – c. Penny Lane
c. IBM – Qiskit
d. Amazon – Not part of this group, but they do use Python through their Amazon Braket SDK.
e. Google – b. Cirq
9. Going Greek
For QF newbies, match the Greeks with the proper definition:
a. Delta – f. Measures the rate of change of the option with respect to changes in the underlying’s price.
b. Gamma – e. Measures the sensitivity of the delta with respect to changes in the underlying price.
c. Vega– c. Measures the sensitivity of the option price to volatility.
d. Theta – h. Measures the rate of change of the option price with the passage of time.
e. Rho – a. Measures sensitivity of the option to the interest rate.
f. Vanna – b. Measures the sensitivity of the delta with respect to volatility.
g. Vomma – g. Measures the rate of change to vega as volatility changes.
h. Lambda – d. Measures the percentage change in option value per percentage change in the underlying price.
I hope you all scored 100% here! If not, there are some great resources available to help you. Ask Paul about it!
10. What’s Next?
Your guess is as good as anyone’s, maybe better!
