Questions tagged [modeling]
The modeling tag has no usage guidance.
203
questions
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46 views
Does anyone have all of Paul Wilmott's “Spreadsheets and VBA” files?
I couldn't find it on his website and the only ones I have are the files contained in the Introduction to Quantitative Finance's CD.
2
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1answer
548 views
Can an IRS have a different payment calendar by leg?
I have to model IRS in an IT system and I have a question related to this modeling.
Can an IRS have a different payment calendar by leg ?
Thanks and regards
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0answers
28 views
How to estimate lambda from NAGARCH submodel in R
I am trying to estimate the model="fGARCH", submodel="NAGARCH" from the rugarch package in R.
However, when I am estimating the parameters, only omega, alpha, beta and gamma are ...
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2answers
223 views
Is it a problem that there are so few stocks in the generalized Black Scholes market? [duplicate]
In the standard Black Scholes market there is only one stock. In the generealized market there can be a finite amount, but my impression is that there are few stocks in the market. The real world ...
4
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1answer
101 views
Reconciling Two Claims About Volatility Under Fat Tails
I have read the Wikipedia article on volatility, and Nassim N. Taleb's Incerto, and found two statements attributed to Mandelbrot's views, which appear to be in contradiction.
Taleb (who was mentored ...
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1answer
57 views
Generalized Linear Mixed Model (GLMM) for the probability of default of corporates
I work in the financial industry and we want to implement an internal rating model for our clients (think corporates large or mid , banks etc. some listed on an exchange some others not).
We want to ...
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1answer
49 views
Non-fixed stationary “conversion”
Dear users of StackExchange,
I was wondering why the log returns of a fixed period of time is such a common use in "transforming" a time series into a more stationary one?
I thought that ...
1
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0answers
45 views
Do we model stock prices using non-Markovian processes in continuous setting?
In a continuous setting, is it common to model stock prices using non-Markovian processes ? If so, do you have some examples of models ? Or is Markovianity something "embedded" in the ...
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0answers
43 views
How do I deal with nonexistant data in a time series with an irregular frequency?
I am trying to do some time series analysis on the margin resulting from three specific commodity futures contracts and ultimately forecast the margin. The margin is calculated as M = F1 + F2 - F3. I ...
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0answers
87 views
In Lopez de Prado's Advances in Financial Machine Learning, what is meant by “unnecessary labels”?
In Lopez de Prado's Advances in Financial Machine Learning, Chapter 3, Prof. Lopez de Padro talks about dropping rare labels:
...
1
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0answers
38 views
Kalman Filtering theory and application in Finance models under asymmetric or incomplete information
Why do we need Kalman Filtering theory in dynamic models in finance when we consider an environment of asymmetric or incomplete information? I understand that this has to do with the update of the ...
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0answers
43 views
Which exact interest rate should I use for valuing equity index futures (ie. SPX, MXEA)?
I'm trying to build a model that values futures for equity indicies like SPX. For example, this product link here. I know that the model is simple (please correct me if I'm wrong):
$$
S_{T} =S_{0}e^{(...
3
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0answers
141 views
Other statistical financial modeling textbooks like Risk and asset allocation by Attilio Meucci
I recently read about the book (Risk and asset allocation) written by Attilio Meucci and I found those statistical modeling and inference methods quite robust in my point of view, although there are ...
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1answer
66 views
Should stock return series be modeled with a parametric distribution, or an autoregressive function? [closed]
If I have prior knowledg that a stock return series follows a parametric distribution, such as a Student t-distribution with 4 degrees of freedom, without actively looking for prior knowledge of ...
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0answers
29 views
Creating a single data set using daily trades
I try to model the price change of a stock using the daily trades. I have 3-months of daily trades data of an exchange. I want to create a single data set using this data by combining each days' data. ...
4
votes
1answer
323 views
Mean Reverting Heston Model?
Is there a name for a variation on the Heston Stochastic Process Model where not only the underlying volatility but the asset price itself is mean-reverting? I'm looking to model long term equity ...
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0answers
19 views
What are different types of response variable we can consider while developing quant model
I was trying to understand the response variables used in the quantitative trading/investing model development. This question may not look good but I searched on google and could not find results. ...
5
votes
1answer
245 views
Why do we not use copula for forward starting options?
Why do we use copulas for spread options but do not use them to correlate random variables across time, such as in the forward starting option?
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42 views
Quantifying Mortgage Refinance Incentive: Why define the Refi Incentive as the log of Mortgage Rate/Market Rate
I'm reading this research article, where they are using survival analysis to study mortgage prepayments. In this article they define the mortgage holder's incentive to refinance as: $Refi = log(Mr_t$ $...
3
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1answer
134 views
PnL due to model recalibration and its relationship with hedging error
Consider the case where at t=0, I calibrate my model to the market, but at t=1 my model is no longer able to recover the price in the market, so it needs recalibration. Say I have delta hedged my ...
0
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1answer
39 views
In your experience, when trying to predict something that occurs, do you model with a fixed time period?
Let's say you are building a simple model (like the classroom examples) of trying to predict, given past information, if the stock goes up or down in the future. One could, like in classroom examples, ...
2
votes
1answer
135 views
Do different prices under different models admit arbitrage?
There are many models for interest rate. If two people use two different models to price the same interest rate derivative, and come to two different prices, doesn't that admit an arbitrage? How ...
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0answers
140 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.
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0answers
87 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
57 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
69 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
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2answers
481 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 ...
2
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0answers
71 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
75 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 ...
1
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3answers
184 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 ...
1
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0answers
82 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&...
2
votes
1answer
244 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, ${...
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1answer
373 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 ...
1
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1answer
81 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
70 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.
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1answer
210 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
165 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
128 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
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3answers
298 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
71 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?
5
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1answer
829 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
178 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 ...
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4answers
130 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 ...
2
votes
1answer
2k 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 ...
0
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1answer
99 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
256 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 ...
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1answer
185 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
186 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
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1answer
844 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 ...
