0
votes
1answer
81 views

Zero coupon bond pricing under Extended Hull & White

How do you price zero coupon bond in extended Hull & White model by solving the Bond Pricing Equation??
2
votes
1answer
74 views

Fit linear model to higher moments of CAPM

How can one fit a linear model to the higher moments of CAPM in R? Fitting a linear model to the second moment (classical CAPM) would be ...
4
votes
0answers
81 views

Momentum - Statistical Argument

In their seminal paper Jegadeesh and Titman (1993) develop a statistical model to infer where moment comes from. In practice they setup the following: $r_{it}=\mu_i + b_i f_t +e_{it}$ ...
1
vote
1answer
39 views

Negative adjusted strike in Levy's Asian option approximation?

In Edmond Levy's 1992 paper, he introduced a moment-matching method to approximate the price of an Asian option assuming GBM for the underlying. It suggested that, if some monitor points are already ...
3
votes
1answer
89 views

Simulate (imaginary) asset prices using random numbers that follow a Frank Copula

I didn't understand how to simulate asset prices by using non normal random numbers. I am assuming that it would be incorrect to use the standard Geometric Brownian Motion, since it is based solely ...
0
votes
0answers
12 views

Consumption Based Asset Pricing

I am working on some consumption based asset pricing models. I am modelling consumption growth in several different ways. An obvious one is to model consumption growth as an AR(1) process: $g_{t+1} = ...
2
votes
0answers
66 views

How would it be possible to use Dynamic Programming to search a space of investment strategies to find an optimum?

As my question states, the problem I am having is finding a sensible way to search a large space. Any help or insight that could be provided would be hugely appreciated. Currently I am trying to ...
1
vote
2answers
117 views

What are some examples of non-solvable SDE where Monte Carlo discretization is necessary

Reading Glasserman - "Monte Carlo Methods in Finance" it says in the introduction to Chapter 6 - Discretization Methods, that moste models arising in derivatives pricing can be simulated only ...
10
votes
3answers
1k views

How to simulate slippage

I'm backtesting a trading strategy, using free OHLC data from yahoo or google. I'm simulating friction by lopping a flat percentage (say 0.5%) off my returns for each day that I make a trade. Whats ...
3
votes
1answer
99 views

Computation of Expectation

This question has so long preoccupied my mind.Please help me to solve it. Question: Assume $X_t$ described by the following stochastic differential equation $$dX_t^{\,\alpha}=\alpha X_t^{\,\alpha} ...
6
votes
4answers
464 views

If I have found a way to predict stocks trend with 58% accuracy, is it good?

Say I have found a way through technical analysis to predict how stocks would behave with 58% accuracy, how good is this percentage?
0
votes
1answer
33 views

How to scale $\alpha$, trading costs in a standard portfolio optimization problem

In the usual "portfolio optimization problem under linear constraints". Let me define the terms here. $$ \text{Find } w^*=\underset{w}{\text{argmax}} \ \ r^Tw - \lambda w^{T} \Sigma w - ...
0
votes
0answers
36 views

Issues with +100 symbols in Quantstrat, Erratic Trades

I've tested my code against individual symbols and very small groups of symbols. I'm finding the more symbols I add the fewer trades I get. For instance, if I just include the first five symbols, all ...
12
votes
4answers
2k views

Is there a standard model for market impact?

Is there a standard model for market impact? I am interested in the case of high-volume equities sold in the US, during market hours, but would be interested in any pointers.
5
votes
3answers
838 views

Typical coefficients uses in square-root model for market impact

The square-root model is widely used to model equity market impact. It assumes that volatility, traded volume, total volume, and a spread cost are the drivers of slippage. Jim Gatheral has an ...
0
votes
0answers
38 views

Forecast of ARMA-GARCH model in R

I managed to forecast a GARCH model yesterday and run a Monte Carlo simulation on R. Nevertheless, I can't do the same with an ARMA-GARCH. I tested 4 different method but without achieving an ...
1
vote
1answer
92 views

Reuters RIC chain for Eurodollar midcurve options

Can someone please tell me what this is? Thanks. Edit: The RIC for the straight eurodollar options is 0#GE+, I need RICs for the 1,2,3,4 mid curve options which the IMM/IOM calls GE0, GE2, GE3, ...
6
votes
2answers
4k views

How to replicate a digital call option

Call Option S=100 K=100 Payoff=1 (option is not available) How can i replicate this (payoff) with calls and puts with strike prices with multiples of 5$ Thanks for help
2
votes
0answers
53 views

How does one simulate intraday strategies which don't end up flat at the close?

I ran into this trying to simulate trading interlisted names between the NYSE and the TSX. Depending on my strategy parametrization it would sometimes end up with a significant short or long dollar ...
5
votes
3answers
130 views

Bayesian estimation of asset pricing models

I am interested in Bayesian methods in the context of financial economics and quantitative finance and have been looking for research which uses Bayesian parameter estimation on asset pricing models, ...
0
votes
0answers
9 views

What are commercial impact models and transaction cost analysis models out there for simulation?

I have heard that ITG, LiquidMetrix, MarkIT and TradingScreen has good Transaction Cost Analysis (TCA) research. I wonder which firm one would choose to have an impact model formula inside his ...
0
votes
1answer
42 views

What is some book that is complete and easy but hard enough to serve as prerequisite for asset pricing and portfolio choice theory?

What is some book that is complete and easy but hard enough to serve as prerequisite for asset pricing and portfolio choice theory by kerry back? I wonder how come a beginning graduate textbook is so ...
0
votes
2answers
48 views

How to get list of all symbols in fred database?

I am trying to query every single series in the fred database using r. I have checked out both the quantmod and fImport packages, and they work fine, though it seems that quantmod fits my use a bit ...
0
votes
1answer
116 views

What are the canonical references on wholesale credit risk management?

I am trying to read up on "Wholesale credit risk ", but I can't find any useful references. Why is the emphasis on wholesale?
0
votes
1answer
81 views

Technical Analysis - OBV indicator calculation in R

Here is a few references about OBV calculations: http://ta.mql4.com/indicators/volumes/on_balance_volume ...
11
votes
1answer
614 views

How to price a Swing Option?

I'm working in the commodity market and I've to price Swing Options with MATLAB, preferably with finite element. Has anyone already priced these kind of derivatives? I'm thinking about using the ...
0
votes
0answers
18 views

Optimize Kelly Criterion in these circumstances for Binary Options

For simple bets with two outcomes, one involving losing the entire amount bet, and the other involving winning the bet amount multiplied by the payoff odds, the Kelly bet is: f* is the fraction of ...
4
votes
1answer
83 views

justification of square root process

In finance, many stochastic processes $X(t)$ are defined via \begin{equation} dX = \text{(some drift term)} dt + \sigma X^\gamma dW_t \end{equation} with $\gamma = 1/2$ (for instance the Heston model ...
0
votes
1answer
43 views

how do I loop through all the stocks with quantmod and ttr?

I just started with quantmod package. If I want to select stocks based on their recent performance, then I need to loop through all the stocks in, say, NYSE. So I need: get all the stock symbols ...
1
vote
4answers
165 views

Why square root of volatility in Heston model?

Why do we model it as sqrt root of v(t)? Is that because we don't want the volatility to go negative? If this is the case, can we model it as square of v(t)?
2
votes
2answers
67 views

Any package to run VAR-GARCH or VECM-GARCH models in R?

I need to estimate a multivariate VECM-GARCH (or simply VAR-GARCH) in R. Browsing on the internet, I did not find anything yet. Do you know if such kind of packages exists? Please, note that a BEKK ...
-2
votes
0answers
16 views

Any package to run BEKK-GARCH-X models in R [duplicate]

I tried using a package called mgarchBEKK (or mgarch) to estimate a VECM-GARCH model with a BEKK approach. It seems like the package firstly estimates the VECM model, then uses the residuals (Epsilon ...
0
votes
0answers
15 views

Where to download Earnings Conference Call transcripts?

Is there any places (like EDGAR) that I can download Earnings Conference Call transcripts in bulk? Thanks.
2
votes
3answers
124 views

Intuitive Explanation for Volatility Smile for Equity

I am trying to understand the intuitive reasoning for why volatility is more for deep OTM/ITM put/call then ATM..(why Simles for equity) Why ATM will not have more volatility as deep OTM/ITM option ...
2
votes
1answer
34 views

Estimating $\mu$ - only increasing $T$ improves estimate?

Assuming an asset price $S$ follows a geometric Brownian motion (GBM), the log returns $R$ are distributed as $$ R_i := \log\left(\frac{S_i}{S_{i-1}}\right) \sim \mathcal{N}\left(\left(\mu - ...
9
votes
3answers
332 views

Why do people always seek finite-variance models for option pricing

For the purpose of getting fatter tails than the Guassian, I have seen people for example use $\alpha$-stable processes to model the stock. But in that case they end up using 'tempered' versions of ...
6
votes
3answers
169 views

Why do stocks fall so quickly? Technical explanations

Why do stocks fall so quickly? China's market is down 40% in the past month ,for example. But when you look at charts of individual stocks, you see many instances of stocks giving up months of weeks ...
0
votes
1answer
16 views

What P&L netting should one use when a strategy has trades in two different geographic locations?

I am familiar with the FIFO methodology of netting buys and sells to obtain a realized P&L and outstanding position. Suppose there's a strategy which runs in two different places A, and B and ...
2
votes
1answer
69 views

Vega in Heston / Bates Model

Just a question regarding "convention": Is the Vega in Heston / Bates model the sensitivity with regards to $\sqrt v_0$ or a term of $\sqrt v_0$ and $\theta$ (Long term variance)? Regards
5
votes
2answers
150 views

How does one estimate the probability of the Fed increasing its benchmark rate based on Fed funds futures?

How was this 67% probability calculated from Fed funds futures? Fed funds futures show a 67 percent chance the central bank will increase its benchmark rate by year-end from virtually zero, ...
0
votes
0answers
20 views

Settlement/Spot/(bid ask spread) ratio

Are there any studies on the average difference or ratio between Settlement (execution price) and the Spot price dependant on lot size. I'm looking for a function such as ...
3
votes
1answer
120 views

Pricing a zero with Vasicek model

I'm trying to understand bond pricing with the Vasicek interest rate model. I'm using McDonald's book for this purpose (not homework). Recall that Vasicek dynamics are \begin{equation*} ...
-3
votes
2answers
38 views

Approximating the IV of an underlying from Individual Options IV

Is it possible to get a calculation of IV from the volatility on components of the options chain? EG I have this data: ...
2
votes
1answer
76 views

Evaluation of the semi-closed Heston pricing formula for call options

I'd like to know, how the integral part of the semi-closed Heston pricing formula for call options can be simulated for a given set of model parameters. Monte Carlo simulations shoud work for this ...
0
votes
1answer
31 views

Does it make sense to interpret autocorrelation and box test on 5 data points?

I am trying to see if after I trade a stock the price movements at 2, 5, 7, 10, 30 and 60 seconds after exhibit any autocorrelation. Below I have the returns from my trade price to the trade 2,5,7,10 ...
4
votes
2answers
134 views

How do I price $P(t)=P(t,T_{n})+\sum_{i=1}^{n}[P(t,T_{i-1})-P(t,T_{i})]$?

Derive the pricing formula $$P(t)=P(t,T_{n})+\sum_{i=1}^{n}[P(t,T_{i-1})-P(t,T_{i})]$$directly, by constructing a self-financing portfolio which replicates the cash flow of the floating rate bond. ...
2
votes
1answer
254 views

what is a typical way forex brokerages can provide cheap leverage for their customers?

I'm not very well read in the area of high finance but I'm curious how forex brokerages are able to provide the backing for leverage that they can provide to customers. Is it possible to do this ...
5
votes
2answers
123 views

how we can derive $PIDE$ of double exponential Jump-diffusion model (we know as kou model)?

I'm working in double exponential Jump-diffusion model (we know as kou model) with following form , under the physical probability measure $P$: \begin{equation} ‎\frac{dS(t)}{S(t-)}=\mu‎‏ ‎dt+\sigma ...
0
votes
1answer
73 views

Asset Liability Management Test Topic Interpretation

I will write a test based on Excel and one of the topics is "The Asset Liability related analysis: including the input assumptions generation, constraints, portfolio optimization analysis and results ...
1
vote
3answers
121 views

Latency and Delays across Exchanges

I have recently come across this paper by Battalio et al. "Can Brokers Have it all? On the Relation between Make Take Fees & Limit Order Execution Quality" and realized how little I know about the ...

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