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Jul
24
answered Why would an investor trade a variance swap over a volatility swap?
Jul
18
comment Obtaining characteristics of stochastic model solution
$F_t$ is the natural filtration $F_t=\{S_i\}_{i=0..t}$
Jul
18
comment Obtaining characteristics of stochastic model solution
Hi guys, sorry I was not there during the we. Indeed $$ \frac{1}{2}e^{kt}\frac{1}{S^2_t}(dS_t)^2 = \frac{1}{2}e^{kt}(\frac{dS_t}{S_t})^2 = e^{kt}\frac{\sigma^2}{2}dt + o(dt) $$
Jul
18
answered How to calculate expected return based on historical data for Mean Variance Analysis
Jul
15
comment Obtaining characteristics of stochastic model solution
@Gortaur: indeed, there was a $e^{kt}$ missing in the stochastic part
Jul
15
revised Obtaining characteristics of stochastic model solution
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Jul
15
revised Obtaining characteristics of stochastic model solution
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Jul
15
asked Obtaining characteristics of stochastic model solution
Jul
12
comment How to calculate expected return based on historical data for Mean Variance Analysis
@miggety: There is no one best technique to forecast returns. It is the most difficult part of your model. Some take discretionary decisions, others trust machine learning like god. There is a lot of different things to explore. And yes definitely time series analysis is a good basis for this problem. Good luck
Jul
12
awarded  Altruist
Jul
11
awarded  Nice Question
Jul
11
comment Measuring liquidity
@shane. If you hit the quote, there is a trade, no? Maybe there is no depth if you are able to trade only one unit, but I think that if there is a quote for both bid and ask and the spread is small it means that the market is there
Jul
8
comment How to calculate expected return based on historical data for Mean Variance Analysis
Even if it is not precisely the question, I think the question raises another issue, which is "Does past returns provide a good estimate of future returns?" These protfolio allocation algos are good but IMO it is a bit easy to assume that we have a good estimate of the returns. If you give me a good estimate of the future return, let me manage your money, its not too hard. Rather than focusing on that, shouldn't we focus on how to forecast returns?
Jul
5
comment DSP: stationary non-periodic signal: what's the best causal technique?
Have you managed to implement some causal versions of wavelets with success?
Jul
5
revised DSP: stationary non-periodic signal: what's the best causal technique?
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Jul
5
comment DSP: stationary non-periodic signal: what's the best causal technique?
Wavelet is not a causal technique. there is a huge boundery effect due to the selection of either "reflection" of "periodic"
Jul
5
awarded  Investor
Jun
30
accepted Mean reverting strategies
Jun
30
comment Question about Gravity model of International trade
@Zarbouzou: I am afraid you have a very narrow view of quantitative finance.
Jun
29
answered Measuring liquidity