Chapter 16 - Market making and delta hedging Flashcards

1
Q

what do market makers do

A

they stand ready to sell to buyers, and buy from sellers

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2
Q

recall bid and ask

A

bid is what the market maker pays for buying the shit.
the ask is what hte market maker reuqire to sell the shit.

Naturally, the ask is larger than the bit, and this markup must cover the cost of doing business.

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3
Q

important aspect of market making

A

there is no speculation. There is no personal preference. It is strictly expected demand + markup

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4
Q

must market makers hold assets to sell?

A

No they can short

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5
Q

most important aspect of market making, in order ot make it viable

A

Controlling the risk. Without hedign the positions, they are fucked. Uncotnrollable risk

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6
Q

One way for MM to control risk

A

Delta hedging

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7
Q

briefly discuss delta hedign

A

compute option delta and take an offsetting position in the shares.

it also reuqire investment of capital to balance the equation.

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8
Q

what is the “key” idea in derivatives markets in regards to delta hedging?

A

we have tied up capital, and should earn return on it.

If properly hedged, we earn risk free rate.

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9
Q

what do we mean by marking-to-market?

A

if we liquidate now, what do we get in profits.

marking-to-market is a daily re-set thing I believe

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10
Q

say a market maker sell a call option, and the stokc price doesnt move. What is hte marking-to-market outcome the next day?

A

this is a profit for the market maker because of time decay. there is less time value left, so he can buy back the option for less than the original price.

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11
Q

nice thing about delta

A

delta represent the sensitivity of hte option, which means that it measures the exposure of the position. Meaning, the delta is crucial for understanding the exposure of the market maker.

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12
Q

if we consider the delta of an option. What happens if the stock price incresae+

A

because of the delta, the option value increase. however, as the option move more ITM the delta increase as well. Delta ocnverge towards 1.

THe crucial thing here is that if we use delta with large “gap” (not continuous), the delta will understate the risk exposure.

At the same time, if the stock drops instead, and the delta decrease, the delta will overstate the exposure of negative movements.

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13
Q

change in delta is measured by

A

Gamma

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14
Q

What is the ultimate change in option price in regards to delta over a stock price movement?

A

The average delta.

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15
Q

what can we say that mark-to-market profits measure?

A

Net cash infusions required to maintain the hedged position

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16
Q

in a regular “sell call, buy shares” delta hedging, what are the sources of cash infusions?

A

borrowing.

purchase/sale of shares of the asset.

Interest.

17
Q

how can we calculate net cash flow fro mthe hedged position?

18
Q

elaborate on the “borrowing” as used in this context. what is meant by “borrowing capacity”, and why is it equal to the portfolio value

A

the idea is that if “i” want to establish a hedge, and the position value is worth X, and I tell the bank this, then the bank can agree to lend this amount to me, since the value of the position serve as collateral if they want me to repay. Of course, theoretical example, not necessarily practical

19
Q

what can we say about hte marking-to-market overnight profits of a delta hedged portfolio+

A

the profit we can pocket, or the cash we need to pay, in order to keep the position delta hedged.

20
Q

what do we call a posiitoon (delta hedged posiiton) that doesnt require that we take cash out or supply cash?

A

self financingn

21
Q

elaborate on what determine the pattern of gains and losses of a delta hedged daily marking-to-market portfolio

A

Broadly speaking, there are 3 effects that controbute:
1) Gamma
2) Theta
3) Cost of carrying the position

GAMMA
for the larger moves, the market maker is negative while on the smaller moves, the market maker makes profit.
This can be explained like this: If the stock price changes ,the position becomes unhedged. If we short the option, a stock price increase makes us lose money because while we earn the upside from the stock price movement, since the gamma force the delta to increase, the larger the up-move in the stock price is, the further out-of-hedged our position becomes. Meaning, we would actually require more shares to balance it. In other words, the call lose money faster than the stock earns money.
The same sort of thing happens if the stock price decrease. If the stock price decrease, the delta decrease, and the call makes money more slowly than the stocks lose money. We have too many shares, and we therefore carry too much of the downward asset return momentum.

THETA
Each day that pass by, the option lose value as as result of less time value. If we originally sold the option, this is beneficial for us.

Cost of carrying position
This is also called interest cost. In order to hedge, the market maker must purchase shares.

22
Q

consider market makers who write options. What do they not want?

23
Q

when is the position self-financing?

A

when it moves every day by exactly one standard deviation.

As a reuslt, the binomial model produce approximately self-financing results, meaning htat if the stock move according to the binomial model, the delta hedged portfolio would be ish self-financing.

24
Q

what is financial forensics

A

in this context, looking at a price movement, seeing the effects, and tring to explain why the effects occured

25
why is delta alone a bad predictor of optio nvalue changes
because delta change with stoc kprice movement. We need the gamma, and we need the theta as well.
26
when is the inaccuracy of using only delta as a predictor largest?
When the delta is most sensitive. This is when the gamma is at its largest.
27
there are two ways to compute an estimate for option price that is based around average delta. elaborate on them
One use only the average delta, but this require that we have the delta at the intiial and terminal stock price. if we have these, we compute average delta, and take the option price at the first time, and add the average delta multiplied by the unit change in stock price we are interested in, and the result is an approximation of the option price that result from the stock price change. the other variant is to use gamma to approximate the average delta. Since gmama is the rate of change in delta, we can multiply gamma by delta, and multiply this by the unit change in stock price, and the outocme is the expected future delta. Then we can use this future delta to compute the average delta (like before) and then compute hte estimate for the next option price like before, using the average delta. So the difference is that one method assume we have both values that we need to compute hte average delta, while the other doesnt, and instead approximate it based on the gamma. the second method is called **delta-gamma-approximation**.
28
what is the algebraic relationship between delta change and gamma?
epsilon is the stock price change. h is the time interval. new delta is equal to old delta + the gamma multuplied by the stock price change.
29
how can we use this to help us compute option price changes?
if gamma is constant, we can compute average delta. We add ∆(S_{t+h}) to both sides, and then divide both sides on 2. We know have RHS expression for average delta. Then we use the following relationship we have earlier: new_option_price = old_option_price + epsilon [average delta] but we insert the expression for average delta. The result is at the picture.
30
using the formula we derived in the last question, what do we need to know regarding the stock price change direction in regards to gamma?
nothing. epsilon is squared, so the effect that the stock price has on the gamma term is only dependent on the magnitude. This makes perfect sense because if the stock price move up, we know that delta will increase. Using constant delta wil ltherefore understate the future option price. Therefore, we need to add correction term. If the stock price mvoe down, the delta decrease. As a result, using the initial delta alone will predict too negatively. therefore we need a positive correction term. it is worth noting that the epislon matters in regards to the initial delta. Meaning that if the stock price movement is negative, the delta affects negatively on the option price.
31
is delta-gamma-approximation perfect?
no, because gamma is not constant. we could make it better by including more and more terms that represent the sensitivity of the gamma, and the sensitivtiy of the sensitivity of the gamma and so on.. but this is not worht it. besides, the formula we dervied for delta-gamma approximatoin is basically a taylor series approximation for the change in the call price.
32
what is theta
time decay, the loss in value holding stock price fixed
33
what happens with our expression for new call option price if we add theta
34
how do we find the algebraic representation of hte profit of the market maker?
This is simply the net value the market maker receive. As the formula show, he lose money from gamma effect on larger price moves. Pay attention to the hidden signs. Theta on a call is negative, and since market maker sell the call, it becomes positive (double negative). as a result, the market maker benefits from high theta. finally, interest is a net cost. The key is to remember that theta is negative.
35
relate sigma to the market maker's profit equation
The idea is that the market maker makes zero profit if the movment of the stock price is 1 standard deviation. So, if we instead of having epsilon directly in the equation, we take substitute it by standard deviation. If annual volatility is sigma, then the interval h appropriate volatility is sigma x sqrt(h). Then we multiply it by the initial stock price to arrive at what one stnadard deviation price move look like. we set this to be epsilon. epsilon = sigma sqrt(h) S_t Then, since epislon is purely in the function squared, we square this shit. e^2 = sigma^2 h S_t^2 We enter this into the equation instead of epsilon squared.
36
we get this result by taking the market maker's profit and dividing on h, and re-arranging the terms. Relate this to BS
The greeks represent partial derivatives. delta is the partial derivative of the stock price. Gamma is the double partial derivative. theta is also partial derivative, but with regards to time and not the stock price.
37