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Oct
18
comment Is there a Bloomberg field for a bonds (upcoming) coupon dates?
You can get the next coupon dates as the previous answers and this shows. But I do not understand your comment about not wanting to deal with calendars. Bloomberg has also calendar functions with overrides where you can specify the locality and start and end date and hence get the number calendar and business days between the specified dates. What else do you need?
Oct
18
comment What is most reasonable approach to determine side of a multi-leg options order?
The structure you showed is a custom structure and generally there is no specific market standard structure that matches yours. It is not even evident whether your structure is gonna be delta hedged at the outset. Hence, one cannot say that any custom structure xyz is a buy or sell unless you refer to being long or short any of the greeks. And for that you need to provide more information (such as delta, gamma, or vega of each option) in order to determine whether your structure is net delta, gamma, vega long or short
Oct
15
comment Volatility Scaling
Your question contains contradictions. Once you (correctly) point out that volatility scales with the square root of time, then in your question you do not apply the same.
Oct
15
comment Volatility Scaling
@jessica, no the issue is that you have several thought errors in your questions. First you (correctly) point out that volatility scales with the square root of time, then in your question you scale by time and wonder why the result is not anywhere near the quarterly vol you stated...btw...are none of the 15 (x number answers provided) out of your 20 questions worth marking as correct? Maybe you could work a bit on your accept rate?
Oct
14
comment Physical Option Implied Distribuition
...but even a broken clock is right twice a day.
Oct
14
comment Physical Option Implied Distribuition
@Ryogi, I appreciate your point, but so is the pursuit of many other subject matters that may, however, never prove futile in actual trading or risk management. My point refers to the fact that some asset price profiles are of such dynamic nature that the derived real-life distribution may be applicable over a short period of time but it may change unpredictably in terms of properties and timing. What is the point to know what the true distribution of the underlying stock price is today if you cannot have confidence that such distribution applies tomorrow or to other stock prices.
Oct
14
comment what kind factors are most useful for intraday trading?
way too broad a question.
Oct
13
comment Physical Option Implied Distribuition
Sorry, let me be a little more precise. We would still need risk neutral probability measures even if we know the exact distributional properties of the underlying asset because we still do not know the real expected return as a result of unknown utility. But what I see as the biggest problem is that the real distributional properties are unstable, they are dynamic and exhibit very little cointegration, so what is the point of wanting to "recover" them?
Oct
13
comment Physical Option Implied Distribuition
@Ryogi, care to comment on what you mean with that? If we could always recover the asset price distributions under the general risk measure then why would we use translation tools such as Black Scholes in the first place? If we know the exact price and return distributional properties and therefore know the payoff probabilities of contingent claims then we do not have to bother with risk neutral probabilities. Obviously that is not the case hence my point that we do not "need" the physical measure (other than of course for educational entertainment)
Oct
12
comment VaR for FX forwards
fx forwards are linear products and are strongly correlated with spot rates. So, your single biggest exposure is gonna be the currency exposures that you contractually promise to deliver and receive. More in my edit.
Oct
10
comment Physical Option Implied Distribuition
You don't need to map them to the physical measure. Please read any of the basic option valuation text books or papers and it should become clearer.
Oct
9
comment Easier references to understand “The Asset Pricing and Portfolio Choice Theory” of Back Kerry
Is it the math behind it or the concepts? Utility theory is generally pretty straight forward...
Oct
8
comment Easier references to understand “The Asset Pricing and Portfolio Choice Theory” of Back Kerry
Just sharing my own experience, I am not a big fan of the all-comprehensive "we cover everything in 500 pages" asset pricing compendiums. Define clearly what part you do not understand I am more than happy to point you to text books I find explain the detailed subject matter clearly.
Oct
2
comment Why are there still manual market makers in options
I actually find this a precise and concise answer. +1
Oct
1
comment Concave volatility smile
terrific, thanks
Oct
1
comment Concave volatility smile
Which paper are you referring to? (Link appears to be dead)
Sep
25
comment Calculate Average Price, Cost, (Un)Realized P&L of a position based on executed trades
Sorry dont have, but its a trivial calculation, weigh the average price by the previous size underlying the old avg price and the fill size and fill price.
Sep
25
comment Calculate Average Price, Cost, (Un)Realized P&L of a position based on executed trades
Move closed trades into a different collection, simple as that.By the way, you should re-calculate an average price each time you get a fill, in that sense you can store and retrieve the avg price (or for that matter any other metric) at any time without additional computational overhead. (unless of course you query or utilize avg price much more seldom than you receive fills).
Sep
24
comment Pricing options and bid-ask spread
Can you please elaborate what you are looking for. It is very unclear to me what you are asking.
Sep
24
comment Why is the Put-Call Symmetry model dependent?
"You don't have to have a "pure" GBM for this to work". True, but the Put-Call relationship may then be different.