Questions tagged [modeling]
The modeling tag has no usage guidance.
187
questions
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0answers
17 views
Grade system for backtesting key figures
I want to backtest my trading algorithm. The algorithm trades on a low timeframe with 400 “unique” trades. With unique I mean that it can place 1 or more of those 400 trades given different market ...
3
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0answers
76 views
How are Autocallables modelled?
What models are used to price autocallables ? Should we talk about Heston/SABR models which talking about this topic ? Any reference link is welcome.
1
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0answers
75 views
Is there a good book/blog on applying statistical methods in finance? [closed]
I am learning a lot of tools in statistics, but I am having a hard time figuring out where I could apply these methods in finance, especially in relation to investment and trading.
Is there a good ...
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0answers
50 views
Searching for two papers of H.Leland with regards to capital structure
I am searching for two papers of H. Leland which I assume previously were online, as many published papers have cited them.
The first work (Lecture notes) extends the Leland(1994a) model by ...
1
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1answer
57 views
Calibrate a model parameter with an error function
Suppose I want to find the implied volatility using an option model from market prices. Surely I can find the implied volatility for each strike price ($k$ different strike prices) for a given ...
2
votes
2answers
80 views
Pros and cons of mean equation equal to zero in a GARCH model
I fitted a standard GARCH model. The mean equation has no AR or MA terms. All the coefficients in the variance equation are significant at 5%. However the mean equation has a constant term equal to ...
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0answers
42 views
How can I estimate a dynamic GARCH model using a Kalman filter methodology in R or MATLAB?
Does anyone know of any R or MATLAB packages for estimating GARCH models using Kalman filtering or any other state-space methodology?
I would like to estimate a GARCH so that not only the variance, ...
2
votes
0answers
47 views
tick/book data vs bar data, worth the infrastructure investment?
For reference, I am talking on behalf of a small group of math/stats graduate students as well as software engineers (we are 6 total), we know each other for years and decided to make a small (private)...
2
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0answers
55 views
modelling known regime shifts
I wish to model a price time series with a known regime shift: electricity price before during and after the introduction of a carbon price. The time series looks like this:
you can see the jump in ...
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0answers
42 views
How to measure synchrony in financial time series
I have a multivariate time of series of monthly capital flows, the data is stationary and after plotting the all series together in one graph, the oscillatory was very clear in trends of the variables....
1
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3answers
96 views
Insight on how factor models achieve dimensionality-reduction?
Going through the literature on factor models, I keep seeing the phrase "dimensionality reduction" and how factor models allow for the modelling of assets in high-dimensional cases, and I would ...
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0answers
23 views
Adjust the Capital Market Line For Margin Interest
Modern Portfolio Theory assumes unlimited borrowing and investing at the risk-free rate. Of course, this is not realistic; margin interest costs several multiples of the RFR, especially for portfolios ...
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0answers
73 views
Framework for analyzing transaction history
After many years of being discretionary trader I'm finally moving to systematized trading.
I have all the transaction history from my broker I want to be the basis of my models.
Is there a framework ...
1
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0answers
53 views
Measuring corporate size relative to world GDP
I'm working o a model where corporate revenue / world GDP is a dependent variable of some stuff (based on the model proposed in this paper: http://www.scielo.br/scielo.php?pid=S1807-76922009000200002&...
1
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1answer
112 views
Why do Factor Models set up their factors differently from regression?
While this may be awkwardly-titled, I hope that my question becomes clearer upon reading.
So this is what I gather about Factor Models: they are statistical models set up to explain the returns, ${...
0
votes
1answer
125 views
Exponential Smoothing - Alpha greater than 1
Simple stats question.
I'm having trouble finding anything in the literature as to why the smoothing coefficient can never be greater than 1. This question was started by me doing time series ARIMA ...
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0answers
100 views
How to create an Efficient Frontier graph with one constant asset at 5% of the portfolio and two other assets fluctuate between remaining allocation?
Creating an Efficient Frontier graph with Stocks and Bonds over a 0%/100%, 10%/90%, 20/80%, ....
1
vote
1answer
45 views
CMS BondEdge “cash flow testing” (forecasts) and market values
CMS BondEdge is able to produce a stream of cash flows for a portfolio of bonds, by cusip, over a variety of interest rate scenarios. In the "cash flow testing" exercise at insurance companies, these ...
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0answers
57 views
Local volatility model equivalent reformulation
Do we have a equivalent formulation of the local volatility model, where the SDE of the model would be on the volatility and S would be a functional of the the volatility and time?
Thanks.
1
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1answer
145 views
Bitcoin dynamics - C++ Simulation
I would like perform a simulation of Bitcoin future prices given a sample of the 4 past years (2014-2018). My problem is that I do not know what model to use! For common stocks I used the geometric ...
1
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1answer
152 views
Mathematical models for personal finance decisions
I'm doing some bibliographic research on mathematical models for personal finance decisions. I should like to ask whether you know any of them, because the research that I did on Google Scholar haven'...
1
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1answer
81 views
Backtesting model results, but backtesting output sampled at different frequency than model output
So, I'm trying to backtest a model that computes P&L. This model pulls sensitivities on a weekly basis and applies market shocks to these sensitivities to project quarterly P&L. I want to ...
2
votes
3answers
241 views
Adjustments for Multicollinearity in Returns-Based Style Analysis
I am currently researching how to estimate a portfolio's effective mix (essentially figuring which weights to hold in broad indices that would have produced most similar return patterns). Sharpe's ...
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0answers
60 views
Preferred Stock pricing model
I am trying to build a model to price a preferred stock. I want to model the dividends as random payments. I can't find any papers online on the subject. Does anyone have a reference for me?
4
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1answer
471 views
why calibrate volatility and fix the mean reversion
I have had a few experiences or chats with teammates about the Hull-White model.
The famous model has 2 parameters :
The volatility
The mean reversion
Very often I hear that the mean reversion has ...
2
votes
2answers
89 views
Failing Jarque-Bera test but residuals looks normal on q-q plot and histogram
If I'm failing the Jarque-Bera test but the residuals still appear to be normally on a qq plot and histogram, is it acceptable to say that my residuals are approximately normally distributed? Asked ...
0
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4answers
103 views
How to test the linearity assumption of a model?
Let's say I want to have a model that projects income over a stressed period. I have a marked-to-market component that shows the P&L of trading book positions during this stressed period. Along ...
1
vote
1answer
686 views
Is this the correct way to forecast stock price volatility using GARCH
I am attempting to make a forecast of a stock's volatility some time into the future (say 90 days). It seems that GARCH is a traditionally used model for this.
I have implemented this below using ...
-1
votes
1answer
45 views
Smoothing of Implied Volatilty
I'm using ATM 30D implied volatility in a model I'm building, but need to smooth out the data. Is the best way just to use exponential smoothing or are there any better alternatives?
1
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1answer
201 views
How to understand the role of stochastic differential equations models in finance, in particular in managing portfolios?
I just begin to read Stochastic Volatility Modeling by Lorenzo Bergomi. I t is very inspiring to me, but there are some statements which confuse me and I would like to ask for help here.
In the ...
1
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1answer
125 views
MPT Efficient portfolio /Asset allocation
When finding the optimal allocation using markovitz, the model will return '0' weights for assets that are "inefficient". What is the standard way for dealing with these weights if all assets have to ...
0
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2answers
112 views
Procedures to follow when VaR model fails backtest
I was wondering what the correct procedure is to follow when a VaR model fails a backtest (either conditional coverage and/or independence tests)?
Assuming I am restricted to using a historical VaR ...
3
votes
1answer
483 views
Monte Carlo model with multiple assets step by step
Here are the following steps to calculate Monte Carlo VaR. I am learning how to proceed with each steps and I would need somebody who can explain. Do I have to create only 1 vector in step 4 (even if ...
1
vote
2answers
111 views
Distribution of data for GBM
I am running some Monte Carlo simulations with GBM on time series of commodity prices. First of all, the price data is annual between 1900-1950. I would firstly like to know if it is bad practice to ...
2
votes
1answer
155 views
Why Arent There Long Rate Models?
You have short rate models, https://en.wikipedia.org/wiki/Short-rate_model, but there doesnt seem to be any long rate models.
I find this weird as in options modelling you model the whole smile, not ...
-1
votes
1answer
39 views
How to interpret the accuracy result of the forecaste?
I'm trying to forecast the vacancy rate of multifamily rental property. I have the data from 1992 until today. I'm trying to fit a model with the serie without the last 2 observations.
I only need ...
0
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0answers
297 views
How Machine Learning model addresses adverse action concerns -credit scorcard?
How to find the variables involved in the decision to report adverse action when the origination scorecard is developed using Machine Learning - XGBOOST with monotonic constraints (80 variables)
...
11
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1answer
818 views
Market Making Strategies Found by Hamilton-Jacobi-Bellman Equation
Im working my way through the book "Algorithmic and High-Frequency Trading" (AHFT) by Cartea, Jaimungal and Penalva and i'm curious to see how the market making model with an exponential utility ...
1
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2answers
54 views
Modeling exercise notice time using lattices?
I am interested in modeling callable (say European) bonds which have a time gap between when the future call exercise is decided and when the call actually occurs (payoff) - say 7 business days. I am ...
5
votes
1answer
196 views
how are financial data with sparse and asynchronous features imputed in predictive modeling?
I watched a presentation from a large quantitative finance firm that spends a lot of effort around predictive modeling. One of the points the presenter emphasized was that they deal with a lot of ...
-4
votes
1answer
54 views
Which expression of $S_t$ to use under the Black-Scholes model?
I am currently looking at example exam questions relating to the evolution of a stock price under the Black-Scholes model. However, I am confused by seemingly inconsistent expressions used for the ...
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0answers
74 views
“Correct” way to average OAS of multiple securities?
Suppose one wants to compute an OAS on a portfolio of securities, but one can only compute the OAS of the individual securities. Is there a "best" way (under some metric) for one to go about doing ...
1
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0answers
158 views
Vega with SVI Gatheral bumps
How would one go about computing a vega profile of an exotic derivative where the volatility surface is modeled using Gatheral's SVI parameterization? In particular, I am thinking about bumping each ...
1
vote
1answer
257 views
Lattice pricing of derivatives under multi curve framework (OIS and LIBOR)
My goal is to price various derivatives resetting to 1M and 3M LIBOR via using a lattice. I have calculated an OIS curve for discounting and adjusted 1M and 3M LIBOR forward curves to be consistent ...
4
votes
2answers
377 views
Physical commodity trading quantitative risk return model
I am very new to commodities, I was previously in portfolio management/optimization (Black Litterman Markowitz etc). I am now a Buy-Sell analyst for Petrochemicals, and need to understand the basic ...
2
votes
2answers
1k views
Accrual in Default Derivation of Credit CDS Curve
In Trading Credit Curves Part I by JP Morgan we have that each point on a credit (CDS) curve represents:
$$PV(\text{Fee Leg}) = PV(\text{Contingent Leg})$$
which is
$$S_n \sum_{i=1}^{n}\Delta_i ...
3
votes
1answer
354 views
Monte Carlo Simulation of price processes
before I ask my question I want to illustrate what I think I know about Monte Carlo simulation:
say I want to simulate the price paths of one European Call Option with fixed strike and maturity in the ...
3
votes
0answers
67 views
Equity Options - “How do I build a forward simulation model with regards to shocks in spot pricing and IV?”
I am trying to build a "What-If" Portfolio, consisting of a total of 20 options, across different tenors, strikes (delta), but on the same security.
Simply put, the objective is for me to test the ...
1
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1answer
80 views
Use of fBm when $H<1/2$
Let H be the Hurst parameter of the Fractional Brownian Motion. Are there any useful areas in mathematical finance where the fractional brownian motion with H<1/2 is used? From all the articles I ...
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0answers
45 views
Multi-Variate linear modeling: how to calculate mathematically vs brute force genetic optimization
I have a hand full of daily economic data. I am currently using a brute force approach. Genetic optimization is only used when k is very large. This method is beautiful to me, but isn't valuable ...
