top of page
"We concluded that you cannot rely on delta hedging alone. It sounds simplistic to say that now, but back then, this was the sort of thing people were only just beginning to realize."
Standard
Customized
Exlpore more People quotes

"I'm not sure whay I've been drawn to this subject, except that murder is a subject that has always drawn people for as long as people have been telling stories."

"If you ask a hundred people, they all give you different answers."

"You can be around 100 people and be completely alone. People don't realize what it's really like."

"A writer is somebody for whom writing is more difficult than it is for other people."

"It is by universal misunderstanding that all agree. For if, by ill luck, people understood each other, they would never agree."
Explore more quotes by John Hull

"Alan White and I spent the next two or three years working together on this. We developed what is known a stochastic volatility model. This is a model where the volatility as well as the underlying asset price moves around in an unpredictable way."

"Our starting point then was trying to find a way to incorporate mean reversion into the HoLee model."

"Yes, our tree has an interesting shape. The center branches reflect the shape of the zero curve. When extreme parts of the tree are reached the branching pattern changes to accommodate the mean reversion."

"We started giving presentations at practitioner conferences in 1986, and since then all of our derivatives research has been stimulated by contact with practitioners."

"The problem with interest rates are that you are not modeling a single number, you are modeling a whole term structure, so it is a sort of different type of problem."

"There are challenges in terms of the measurement of VAR for what are known as nonlinear derivatives, where things like gamma and vega are important dimensions of the risk."

"Our research led on to other things, such as the fact that exchange rates are not lognormally distributed."

"One important measurement issue concerns the fat tails problem that I mentioned earlier. VAR is concerned with extreme outcomes. If the tails of the probability distributions we are using are too thin, our VAR measures are likely to be too low."

"The real challenge was to model all the interest rates simultaneously, so you could value something that depended not only on the three-month interest rate, but on other interest rates as well."
bottom of page