Skip to main content

All Questions

Tagged with
1 vote
0 answers
45 views

Is there a notion of approximation of continuous-time Markov processes by finite-valued Markov processes?

Recall that in practice, to simulate a Brownian motion on $[0,1]$, we usually use the interpolated process $X^n=(X^n_t)_{t\in[0,1]}$ between the jumps of a random walk $(S_k)_{k=1,...,n}$ with $n$-...
Jeffrey Jao's user avatar
0 votes
1 answer
38 views

Should I consider the price for "option pricing" problem?

I'm trying to solve the following problem from "Probability and Statistics" book by Morris H. DeGroot and Mark J. Schervish. Suppose that common stock in the up-and-coming company A is ...
Claptar's user avatar
  • 81
0 votes
1 answer
29 views

Analyzing Expected Profit in a Symmetric Random Walk with Trading Actions

Problem Formalization: I am examining a problem where a stock price $X_t$ follows a symmetric random walk starting at 10, and increments or decrements by 1 unit at each step with equal likelihood. The ...
XiaoBanni's user avatar
2 votes
0 answers
60 views

Deriving the CAPM pricing kernel from the general SDF and consumption-based kernel

I'm reading the paper "Quality minus junk" by Asness et al. (2019) and trying to understand the pricing kernel definition they provide on page 6. The authors present the following pricing ...
Newbie's user avatar
  • 21
3 votes
1 answer
72 views

Characteristic function of a random variable by Fourier transform

this is character function in probability theory $$\phi(u)=\int_{-\infty}^{\infty}\mathrm{e}^{\mathrm{i}ux}f(x)\mathrm{d}x$$ Let an asset price $S_t$ (e.g. a stock) be modeled with a Geometric ...
Yehui He's user avatar
2 votes
1 answer
88 views

Heaviside under Geometric Brownian Motion

I'm new to using Geometric Brownian Motion, so I'm not sure if what I've done is correct. Be the Geometric Brownian Motion $dS_t = \mu S_tdt + \sigma S_t dW_t$, $H$ a Heaviside, and $p_r, r_k$ ...
Luca Herrtti's user avatar
-1 votes
1 answer
94 views

The partial derivative of a call option with respect to $t$ [closed]

In Black-Scholes related computations, why do we not treat the stock price $S$ as a function of $t$ when taking partial derivatives with respect to $t$? For example, if $$c(t,T)=SN(d_1)-Ke^{-r(T-t)}N(...
Not_a_topologist's user avatar
1 vote
0 answers
78 views

How to self-learn probabilities [closed]

Bit of background: I’m 27, graduated 4 years ago with a bachelors in Computer Science in which I did well. Since I graduated, I’ve been working as an algo trader for a bank. I’d like to start applying ...
IGottaLearnMath's user avatar
1 vote
1 answer
51 views

Interpretation of Value at Risk and its relationship with the upper percentile

I found this definition of VaR (Value at Risk) in a paper: VaR is defined as the “possible maximum loss over a given holding period within a fixed confidence level”. That is, mathematically, VaR at ...
Kolmogorovwannabe's user avatar
0 votes
1 answer
88 views

Brownian motion X(t) is with probability 1 a continuous function of t

Here is an excerpt from "An Elementary Introduction to Mathematical Finance" by Sheldon Ross, 3rd edition: I understand this is not meant to be rigorous, but I'm having trouble ...
Bastiza's user avatar
  • 303
1 vote
1 answer
102 views

European Option Delta derivation

With the Black-Scholes formula for a call option: $$P= S e^{-\delta T } \Phi(d_{1}) - K e^{-rT} \Phi(d_{2}) $$ With $d_{1}$ and $d_{2}$ as: $$ d1 = \frac{\ln\left(\frac{S}{K}\right) + \left(r - \delta ...
minibeto666's user avatar
1 vote
0 answers
54 views

Foreign Exchange Fallacy

Suppose that: \$1 is worth €1 now; For next year, there's 50% chance that \$1 is worth €1.25 and 50% chance that \$1 is worth €0.8. Then the expected value of \$1 in terms of euros is 1.025. However,...
Daniel Mendoza's user avatar
1 vote
0 answers
142 views

Using the Kelly criterion, what is the maximum amount you should wager when the odds are unknown?

Thinking from a general, layman's perspective, when one cannot properly assess the risks of a particular situation, but still wants to apply probability to maximize chance of gains, how can one use ...
math's user avatar
  • 121
3 votes
1 answer
43 views

Determine all values $\lambda$ for which $\mu \succ 0 \succ \upsilon$

Suppose an investor has a preference represented by the relation $\succ$ for which there is a von-Neumann Morgenstern representation with the utility function $u$: $$u(x)=\begin{cases} x & x\ge 0 \...
dsk62's user avatar
  • 307
1 vote
1 answer
40 views

Extracting a conditional density from a formula involving 2 stochastic integrals

I have a problem coming from a financial maths application, that involves trying to extract the conditional density of a variable expressed as an integral over a Brownian motion, conditioned on ...
Tom Weston's user avatar

15 30 50 per page
1
2 3 4 5
15