Questions tagged [pca]
The pca tag has no usage guidance.
87
questions
2
votes
0answers
53 views
machine-learning method to predict PCA weights
I have been using certain linear-regression to extract the PCA (top 3) weights relating to a certain data-set.
I was wondering, instead of using linear-regression to generate the weights, I can use ...
1
vote
1answer
67 views
Hedging a trade for PCA component neutrality
Suppose I am given a set of financial instruments, e.g. {1Y, 2Y, ..., 30Y} interest rate swaps or {Barclays, Lloyds, .. } FTSE100 companies. It doesn't matter which so let's go with IRS.
I have ...
1
vote
2answers
143 views
PCA and risk bucketing
I have a portfolio of bonds and I have calculated their PV01 per risk bucket. The relevant buckets are 1m,2m,...,1y,2y,...30y; a total of 40 buckets.
I also run a PCA and have identified the three ...
0
votes
1answer
150 views
INTERPRETING PCA ANALYSIS
I am having little trouble figuring our which variables are the most important when I am using PCA .
What I am trying to do is see which variables explain the most variance when it comes to stock ...
0
votes
1answer
132 views
PCA FOR STOCK PICKING
lets say I am an equity analyst and I want to figure out what fundamental metrics I should use when I am analyzing an industry , I can use pca on a bunch of stocks in an industry using their ...
0
votes
0answers
40 views
Pca for Portfolio Theory
given the fact that if you take the portfolio returns for different assets in a portfolio the first principle component represents the market exposure of the portfolio and the second principle ...
1
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0answers
94 views
0
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0answers
79 views
Stock prices and PCA
I'm trying to construct a portfolio using PCA based on a number of stocks. I was wondering what the best way to standardise the stock prices are.
Which method would be more appropriate? Standard ...
1
vote
1answer
59 views
PCA in PRIIPs regulation for simple floating interest rate
From the Q&A on the PRIIPs KID:
4. The principal component analysis of Annex II, Point 23 ensures the consistent simulation of curves. Is it mandatory to use this method also for PRIIPs that ...
1
vote
1answer
115 views
PCA on a portfolio of spot and forward contracts
I have a portfolio of spot and FX forwards on various currencies all based to AUD. I need to able to quantify how the changes in amount, tilt and curvature of the AUD curve would impact my p/l.
...
5
votes
3answers
198 views
PCA: How to select a smaller set of the original features that best represent first PC with minimal contribution to the other PCs
I have performed PCA on a covariance matrix.
I have 24 original features and subject to some constraints over which features are used i would like to chose the combination of features that best ...
1
vote
0answers
58 views
Predicting stock returns using principal components of macroeconomic variables
I'm trying to detect return predictability by regressing stock returns on the first couple of principal components of a set of macroeconomic variables. I'm doing this for different stock styles such ...
1
vote
0answers
242 views
PCA predicted yield curve moves do not match (closely) realized yield curve moves
I have a need to set-up a methodology to decompose the x-day yield curve moves into its underlying (3) PCAs.
Specifically, for an example, to generate the 1-day moves in the EUR-swap yield curve; ...
0
votes
1answer
193 views
stress testing zero coupon yield curve
i'm currently trying to stress test the zero coupon yield curve using daily observations from 2003 to 2019.
Each Zero coupon yield curve originate from an actuarial curve with 37 tenors that range ...
3
votes
3answers
319 views
PCA for Risk bucketing
I'm working on a project to justify the use the certain tenors (2y, 5y, 10y, 30y) for risk bucketing. I'm a little stuck after calculating the principal components. Just to describe my approach-
a) ...
2
votes
0answers
195 views
How to interpret DV01 in terms of PCA equivalent?
I have computed the PCs for daily changes in the UST yield curve over the last 5 years using the covariance matrix and can explain 94% of the variance using the first two components, which is good ...
7
votes
1answer
150 views
Principal Components Analysis on overlapping contracts
I am conducting several PCAs on the gas forward curves (months, quarters, seasons, calendars) for hedging purposes which give me some rather reasonable and stable results.
However, these contracts ...
3
votes
1answer
389 views
statistical arbitrage using PCA
While reading the paper Statistical Arbitrage in the U.S. Equities Market
by Marco Avellaneda and Jeong-Hyun Lee on statistical arbitrage using PCA
I realized that the author sums the residuals of ...
1
vote
1answer
45 views
Do you use seasonally or non seasonally adjusted index in analysis
I am constructing an inflation factor that includes the gdp deflator, the PPI for finished goods, and a spot commodity index.
Do I uses seasonally or nonseasonally adjusted historical series?
Thank ...
2
votes
1answer
226 views
Construct a butterfly interest rate portfolio to eliminate PCA exposures
I have data from 2012 to 2016 for interest rates whose term range from 2 month to 30 years, a total of 10 Principal components can be calculated.
Then I want to construct a portfolio, $$WFLY = w_1 *5Y ...
2
votes
2answers
331 views
Reconstruct yield curve from principal components
I am currently building a model which aim is to model shocks to the yield curve (i.e. 25bps hike in the short rate).
Currently I am looking at a swap curve from which I derive the PCs. Assessing the ...
1
vote
1answer
262 views
Interpretation of PCA for commodity futures
I've done some PCA analysis of a portfolio consisting of futures on certain commodities. However, I am unsure of how to interpret the output as most of the information found online deals with fixed ...
-1
votes
2answers
1k views
Why is my Covariance matrix not positive definite?
I'm trying to do PCA on historic forward rates. I'm using forward rates from the Bank of England going from Jan 2015 through end of May 2018. I calculate the differences in the rates from one day to ...
1
vote
2answers
756 views
Principal component analysis for yield curve
I have Treasury yield data across 11 maturities for past 1 year. I have used a code in MATLAB for PCA on change in yield curve. Now, I have covariance matrix of daily/monthly yield curve changes, ...
2
votes
0answers
173 views
Using PCA to identify proxies for highly illiquid assets?
Was wondering if anyone had any literature to share on the use of PCA to identify proxies for highly illiquid assets?
Say for example I have sold an option on stock A, an index constituent, and would ...
2
votes
1answer
562 views
Constructing a stock market index using PCA
Let's say that I've got a final component and its score derived from n number of stock returns (time-series data). I want to construct a stock market index using this component (having negative and ...
2
votes
1answer
492 views
Using PCA to predict Stock Prices
I would like to model an index e.g. FTSE 100. I have a list of all companies that make up the index and their stock values (daily high, low, volume, close values). In total, this time series data has ...
0
votes
1answer
246 views
PRIIP Category 3 Curves
Good evening,
I've tried searching similar posts, but most are unanswered or in a more advanced step than what I'm trying to achieve.
I've managed to do the boostrap method for spot prices ...
1
vote
0answers
524 views
PRIIPs category 3 curve dependent products (PCA)
My question is regarding the PRIIPs regulation, specificaly about category 3 products that depend on yield curves and require PCA. The product in question is index-linked product, which means that the ...
1
vote
1answer
745 views
principal component analysis on non stationary data
I read that since stock prices are non-stationary it does not make sense to take their covariance. So I took the log returns of stocks, computed covariance matrix, took the top few eigen vectors that ...
2
votes
0answers
57 views
Covariance Matrix: Calculating Error [duplicate]
I have a sample covariance matrix that is non positive-semi definite (due to missing data points). I am looking at a number of techniques to 'fix' my covariance matrix and make it positive semi-...
0
votes
1answer
396 views
Portfolio Optimisation/Covariance Estimation on a large scale
When using Markowitz Portfolio Theory, e.g. for finding an optimal portfolio composition, one needs to have estimates of the returns, but most importantly of the covariance matrix. If our universe of ...
-2
votes
1answer
863 views
Forecasting next day return of a stock using PCA of index constituents
I am trying to predict the return of BN4.SI ( a singapore stock ) and part of Strait Times 30 component index using principal component Analysis. I have written my code in python.
My Question is i ...
0
votes
1answer
477 views
KID PRIIPS regulation: PCA
According to KID/PRIIPS regulation in your opinion
in which case should PCA (as from article 23) be used?
Just for structured products and bond-related products or also in other cases?
Do you have ...
2
votes
0answers
66 views
Reduced rank / matrix factorisation techniques and their uses in portfolio optimisation?
I am interested in reduced rank / matrix factorisation techniques and their uses across finance and portfolio optimisation. For example, PCA might be used to reduce the number of components you are ...
0
votes
0answers
140 views
PCA and constructing an index
Given a set of correlated securities and their corresponding closing prices, I am looking for a way to construct an index of these securities.
When applying PCA to obtain the principal components, ...
2
votes
0answers
112 views
Why Regression should only be done on Non-Stationary data points?
I am working through a course on PCA and Factor analysis, where the example is to perform regression on stock prices, with an objective to predict the stock prices.
The author claims, that we need to ...
1
vote
1answer
1k views
Applications of PCA to yield curve analysis
One of the applications of Principal Component Analysis in Finance is to analyse the shape of the yield curve.
But what conclusions can be drawn exactly from performing this exercise? Does it help us ...
0
votes
1answer
116 views
Low-rank approximation techniques for portfolio optimisation
I am trying to understand how low-rank approximation techniques such as PCA, factor analysis, total least squares, orthogonal regression, etc could be used in portfolio optimisation. Say I have a ...
1
vote
1answer
155 views
Yield curve PCA vs real life frequency
The yield curve can be explained using a PCA, where the cumulative proportion explained for many practical purposes is high enough with three factors.
For one set of data, used at https://www.r-...
3
votes
0answers
71 views
What is special about covariance estimation from statistical factor models?
If you were to compare the usual sample covariance estimate to a robust covariance estimate (such as MCD), you can say that the robust estimate is more tolerant to outliers in the data and will not be ...
1
vote
1answer
65 views
How do I test if my betas form a co-integrated vector?
I have identified a model using principal component regression where $Y_t$ is explained by 4 factors such as:
$$Y_t = \beta_1 X_{1t} + \beta_2 X_{2t} + \beta_3 X_{3t} + \beta_4 X_{4t} + \epsilon_t$$
...
4
votes
1answer
365 views
Interpreting Eigenvalues of Co-variance Matrix
Im working on market reaction to events and I'm using the co-variance matrix to do this. In this paper the author writes
It has been known for some time that the largest eigenvalue (λ1) contains ...
4
votes
0answers
154 views
VAR FPCA analysis paper replication
I've been trying to replicate the following publication: CONSISTENT FUNCTIONAL PCA FOR FINANCIAL TIME-SERIES, Sebastian Jaimungal, Eddie K. H. Ng, 2007
but I havent been able to get the same results ...
6
votes
2answers
482 views
PCA for stand alone equity VaR
I am trying to compute equity VaR, forex VaR and total VaR on an international portfolio (10 stocks x 4 countries). Since I am not interested in the risk disaggregation among diffrent countries I was ...
4
votes
0answers
158 views
Interplay of statistical factors (PCA) and market factors (value, momentum, low vol, …)
Is there any research done on the interplay between statistical factors (as a result of principle component analysis PCA) and the market factors (especially value, size, low vol, momentum, quality)?
...
1
vote
1answer
1k views
Calculating PCA hedge ratio for 3-leg spread
I'm wondering how can I find PCA hedge ratio for a 3-leg spread? I've taken the simple steps laid out in here.
I've taken some treasury futures data for 2yr,5yr,10yr and ran the PCA. The first ...
10
votes
4answers
1k views
Hedge Fund risk management on a daily basis
Since Hedge Funds/Fund of Funds report on a monthly basis usually within 10 days after the month end, monitoring and managing (hedging) potential risks is quite a difficult task. Having done some ...
1
vote
1answer
181 views
Rebucketing Risk using PCA/other methods
was working on a project and could use some help. New to the community and looking fwd to being an active part of it.
My question is, let's say we have a vector of securities V, and it trades with ...
3
votes
1answer
616 views
Weights Blowing up in PCA
I'm using daily settlement data to get yield levels for a couple of products. From this data I am doing PCA on a rolling collection of the yield levels. I have been using sci-kit learn's PCA function, ...
