Questions tagged [modeling]

The tag has no usage guidance.

Filter by
Sorted by
Tagged with
0
votes
1answer
41 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 ...
0
votes
0answers
25 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
vote
0answers
36 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 ...
1
vote
0answers
40 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 ...
0
votes
0answers
61 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
vote
0answers
35 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 ...
0
votes
0answers
38 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
votes
0answers
138 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 ...
-2
votes
1answer
63 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 ...
0
votes
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. ...
3
votes
1answer
250 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 ...
0
votes
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
222 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?
0
votes
0answers
40 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: $Refi = log(Mr_t$ $...
1
vote
1answer
114 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
votes
1answer
36 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
130 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 ...
0
votes
0answers
64 views

Adapting a DCF valuation model for individual investors investing in a residential real estate asset and studying its implications

I am trying to better understand discounted cash flow (DCF) valuations to compute the net present value (NPV) of the collection of cash flows arising from the process of buying, holding, and selling a ...
3
votes
0answers
126 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
vote
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 ...
1
vote
0answers
54 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
vote
1answer
68 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
370 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
votes
0answers
65 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
votes
0answers
72 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
vote
3answers
156 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
vote
0answers
78 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
vote
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
222 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
300 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
vote
1answer
75 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 ...
1
vote
0answers
67 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
vote
1answer
199 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
vote
1answer
163 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
vote
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
votes
3answers
284 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 ...
1
vote
0answers
68 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
votes
1answer
746 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
152 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
votes
4answers
124 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
votes
1answer
91 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
vote
1answer
249 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
vote
1answer
175 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
votes
2answers
175 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
761 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
164 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
161 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
41 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 ...
11
votes
1answer
1k 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 ...