2
votes
2answers
161 views

Measuring historical earnings surprises, their frequency and severity

This is my first post to Quantitative Finance, so I hope my question is formatted the right way. I am starting to research the effects of earnings surprises on certain equity indices. Is there a ...
2
votes
2answers
142 views

selecting test data for neural networks

I have been working on a neural network based on certain technical indicators. As people familiar with neural networks would know after developing a hypothesis, the developer is also supposed to ...
2
votes
2answers
170 views

Smoothing Term Curve

Assume that we have current month term curve and the curves from the two previous months. The current curve may be shifted from the average of the previous two curve by some value (a parallel shift). ...
1
vote
2answers
75 views

hedging with known volatility

Suppose we have a stock $X$ at which trades at 100 dollars. We suppose the stock follows a geometric brownian motion. We know that the interest rate is zero and annual volatility is 10 percent. How ...
1
vote
2answers
122 views

Closed form european option prices for a variance gamma process with a randomly distributed drift, volatility, and variance rate

Does an option pricing model with a closed form European option price exist that takes into account randomly distributed drift, volatility, and variance rate? I prefer a modification to the variance ...
1
vote
2answers
904 views

How to normalize stock data

Please advise how can i normalize stock prices. Recently, I've been using such formulas: Log prices = Ln(Close(t)) Close(t)-Mean (Close(t)-Mean)/(StdDev) Ln(Close(t))-Mean Is there any other ...

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