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Apr
8
comment Non-arbitrage theory and existence of a risk premium
Can you please tell from which book is this question?
Mar
18
comment Doesn't a perpetual option contradict the Black-Scholes framework?
@Chan-HoSuh No, it wouldn't. You don't hold the same number of stock for arbitrary lengths of time. You continuously adjust it to make your portfolio of underlying and short option risk free.
Mar
18
comment Kolmogorov-Smirnov test
@AnthonyMaster See quant.stackexchange.com/questions/341/what-is-a-martingale
Mar
18
comment Calculate the expectation of a shift CDF
+1 Good solution.
Mar
17
comment Is drift rate the same as interest rate in risk-neutral random walk when using Monte Carlo for option pricing?
@bytefire Geometric Brownian motion
Mar
16
comment Doesn't a perpetual option contradict the Black-Scholes framework?
@Chan-HoSuh You can hedge because you can continuously adjust the position in underlying, i.e. do dynamic hedging. Also note that in general you don't need a hedging strategy to get a price for a contingent claim.
Mar
14
comment Doesn't a perpetual option contradict the Black-Scholes framework?
Please describe your arbitrage strategy properly. Are you long put, short underlying? It's not clear at all from your question.
Mar
13
comment Calculate the expectation of a shift CDF
@Richard Actually $X_1$ should be from $N(0,1)$ and $X_2$ should be from $N(0,\sigma^2)$ if I understood the problem correctly.
Mar
13
comment Calculate the expectation of a shift CDF
@Richard Actually it should be fine if you take iid copy.
Mar
13
comment Calculate the expectation of a shift CDF
@GoodGuyMike I optimized your code a bit and it seems to work. Well done!
Mar
11
comment Square root of time
It doesn't hold for simple returns, i.e. $S_{t_2} - S_{t_1}$ is not normally distributed under assumption that $S$ is a Geometric Brownian Motion.
Mar
8
comment Comparing Cash Equivalent of risky portfolios
@Omar Good question. In this particular paper the only reason I see is to make their numbers comparable with the results of other papers. Also note that CE are used for risk premia calculations. I will add this to my answer.
Mar
7
comment Comparing Cash Equivalent of risky portfolios
@Freddy Let's take a step back. The question was simple: "why one number got under unrealistic assumptions is better than another number got under the same unrealistic assumptions?" The answer is: due to the independence of measurment units. That's it.
Mar
7
comment Comparing Cash Equivalent of risky portfolios
@Freddy I undestand your (valid) criticism of expected utility framework, i.e. one number representation. But this has nothing to do with CE specifically.
Mar
7
comment Comparing Cash Equivalent of risky portfolios
@Freddy "this only works if the portfolio is a risk free portfolio" how did you came to that conclusion from my answer? "CE can be identical for two portfolios with entirely different risk reward profiles" Sure, it can. As well as utility. CE introduces no new assumptions to utility framework (apart being able to inverse utility function).
Mar
7
comment Comparing Cash Equivalent of risky portfolios
@Freddy sure. updated the answer.
Mar
7
comment Comparing Cash Equivalent of risky portfolios
@Freddy "CE is suggesting we all set our utility equal" not really.
Mar
2
comment Is it worth preserving orderbook structure when building it from individual orders?
@DmitriNesteruk I assume you are re-cosntructing the order book from a raw message stream data coming from an exchange. Then you should also receive messages that a certain order has been executed and handle them properly.
Feb
27
comment Why C is still in use especially in area of numerical optimization (instead of C++)?
In such a general form it fits Computational Science much more than here
Feb
23
comment Upper bound concerning Snell envelope
@Paul 1) There doesn't exist any "arbitrage of points" 2) Bounty was not initiated by Christian 3) "It seems not so ethic" to silently crosspost your question and 4) If you cannot give the bounty, the Community can (and will)