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C-RAM
Germany
เข้าร่วมเมื่อ 4 ต.ค. 2017
Computational Risk and Asset Management Research Group of the KIT
The Chair of Financial Economics and Risk Management analyzes how economic risks affect financial markets.
In order to add value to self learners and people in need of some free tutoring, this channel hosts a couple of teaching related videos on different financial topics.
The Chair of Financial Economics and Risk Management analyzes how economic risks affect financial markets.
In order to add value to self learners and people in need of some free tutoring, this channel hosts a couple of teaching related videos on different financial topics.
FI_V2: Smart Beta Investment Strategies
This lecture talks about the concept of 'Smart Beta Investment Strategies'. Examples are value, momentum, illiquidity, credit, short vol,
มุมมอง: 352
วีดีโอ
FI_V3: Factor Pricing Models
มุมมอง 2842 ปีที่แล้ว
This lecture talks about factor pricing models. Topics include: Single-factor Beta Models, Multi-factor Beta Models, Time-series Factor Models, Cross-Section Factor Models
FI_V4: Managing a Large Set of Risk Factors (Gram-Schmidt Orthogonalization)
มุมมอง 1762 ปีที่แล้ว
This lecture talks about the question on how to manage a portfolio of many, potentially correlated, risk factors. One particularly appealing approach is the Gram-Schmidt orthogonalization. That approach is often used in academic empirical research to circumvent the problem of multi-collinearity and to keep interpretation at a maximum. Simplistically speaking, each factor contains only informati...
FI_V5: Classical Linear Factor Models
มุมมอง 1732 ปีที่แล้ว
This lecture talks about classical linear factor models, using the general set-up of linear factor pricing models. Content includes: CAPM, Fama-French 3-factor model, Mertons's Intertemporal CAPM, Non-tradeable risk factors, Petkova (2006, JF),
FI_V6: Risk Management with Linear Factor Models
มุมมอง 1722 ปีที่แล้ว
This lecture talks about how linear factor models are used for managing risks. Content include 1. Risk decomposition: Total Risk = Systematic Risk Idiosyncratic Risk 2. Using factor models to compute the Covariance Matrix of Returns in a time efficient way 3. Decomposing the Covariance Matrix into Systematic Risks
FI_V7: Fama-MacBeth Approach for Estimating Market Prices of RIsk
มุมมอง 1.1K2 ปีที่แล้ว
This video talks about the seminal work of Fama, MacBeth (1973). The method is widely used to estimate the unconditional market price of risk.
FI_V1: Norway's Sovereign Wealth Fund
มุมมอง 2612 ปีที่แล้ว
Prof. Maxim Ulrich explains by example why the Sovereign Wealth Fund of Norway is a poster child for successful factor investing.
MV_V8: Diversification
มุมมอง 1742 ปีที่แล้ว
This lecture provides an introduction into the concept of "diversification".
FI_V10: Harvesting Dynamic Risk Premiums using Value, Carry, Momentum and Short Vol Strategies
มุมมอง 1843 ปีที่แล้ว
Prof. Maxim Ulrich talks about how to set-up and harvest Dynamic Risk Premium Strategies. This short overview covers the following trading strategies: value, carry, momentum, volatility.
FI_V13: Replicating Factor Anomalies
มุมมอง 1043 ปีที่แล้ว
This lecture talks about Factor Anomalies. The literature has put forward roughly 500 hundred alpha strategies, also called factor anomalies. A recent RFS publication of Hou, Xue and Zhang fails to replicate most of these 500 strategies, highlighting the danger of overfitting, p-hacking and being fooled by randomness.
FI_V9: Harvesting Static Factor Risk Premiums in Equity, Bond and Credit Markets
มุมมอง 1173 ปีที่แล้ว
Prof. Maxim Ulrich talks about static risk premiums. The premiums under consideration are the . equity risk premium . a bond's duration premium . credit premium. Empirical evidence for the US and for non-US countries is presented. The video also talks about how to rationalize static risk premiums, using the Gordon Growth Model.
FI_V8: Application for I-CAPM and Fama-MacBeth
มุมมอง 2853 ปีที่แล้ว
Prof. Maxim Ulrich talks about an application to add insights into the working of the I-CAPM and the Fama-MacBeth approach of determining the market price of factor risk. The application is based on the Journal of Finance publication of Petkova (2006).
KV7: How to estimate VAR with Least Squares Method
มุมมอง 1233 ปีที่แล้ว
KV7: How to estimate VAR with Least Squares Method
KV6: How to generate unique IRFs - Cholesky Decomposition
มุมมอง 3993 ปีที่แล้ว
KV6: How to generate unique IRFs - Cholesky Decomposition
KV5: Impulse- Response Functions (IRF) of a VAR(1)
มุมมอง 6343 ปีที่แล้ว
KV5: Impulse- Response Functions (IRF) of a VAR(1)
KV3: Recursive Forecasting of VAR(1). How to use a VAR(1) model for computing forecasts efficiently
มุมมอง 1803 ปีที่แล้ว
KV3: Recursive Forecasting of VAR(1). How to use a VAR(1) model for computing forecasts efficiently
KV2: Rewriting ARMA(p,q) as VAR(1) - Trick that allows you to focus on the VAR(1) model only
มุมมอง 1243 ปีที่แล้ว
KV2: Rewriting ARMA(p,q) as VAR(1) - Trick that allows you to focus on the VAR(1) model only
KV1: Set up empirical risk model that accounts for conditional co-variation among risk factors
มุมมอง 1983 ปีที่แล้ว
KV1: Set up empirical risk model that accounts for conditional co-variation among risk factors
NDAM_V3: How to Account for Higher Moment Risk when building Optimal Portfolios?
มุมมอง 1393 ปีที่แล้ว
NDAM_V3: How to Account for Higher Moment Risk when building Optimal Portfolios?
NDAM_V1: Why do Rule-based Portfolio Strategies beat Mean-Variance Allocations?
มุมมอง 2053 ปีที่แล้ว
NDAM_V1: Why do Rule-based Portfolio Strategies beat Mean-Variance Allocations?
Returns are usually Negatively Skewed! A T- and E-GARCH help you to capture skewness and heterosc.
มุมมอง 1973 ปีที่แล้ว
Returns are usually Negatively Skewed! A T- and E-GARCH help you to capture skewness and heterosc.
Do S&P 500 Returns follow an GARCH? Working on that, we learn how to estimate a GARCH from scratch
มุมมอง 3733 ปีที่แล้ว
Do S&P 500 Returns follow an GARCH? Working on that, we learn how to estimate a GARCH from scratch
Do S&P 500 Returns follow an ARCH(m)? Using the Application we learn how to Estimate ARCH(m) Models
มุมมอง 1263 ปีที่แล้ว
Do S&P 500 Returns follow an ARCH(m)? Using the Application we learn how to Estimate ARCH(m) Models
Do S&P 500 Returns follow an ARCH(1)? Using that application we learn how to Estimate an ARCH(1)
มุมมอง 1453 ปีที่แล้ว
Do S&P 500 Returns follow an ARCH(1)? Using that application we learn how to Estimate an ARCH(1)
Test #2 for whether a Time Series has Stochastic Volatility: LM Test
มุมมอง 2253 ปีที่แล้ว
Test #2 for whether a Time Series has Stochastic Volatility: LM Test
Test #1 for whether a Time Series is Heteroscedastic (i.e. Portmanteau Test to Detect ARCH Effects)
มุมมอง 4513 ปีที่แล้ว
Test #1 for whether a Time Series is Heteroscedastic (i.e. Portmanteau Test to Detect ARCH Effects)
How do I Test whether a Time Series has Stochastic Volatility (Heteroscedasticity)?
มุมมอง 2793 ปีที่แล้ว
How do I Test whether a Time Series has Stochastic Volatility (Heteroscedasticity)?
Dear Professor. Thank you for sharing your insights and knowledge with us. I have been looking at asset pricing literature for quite some time but still lacked the required clarity. Your video brought me clarity on the concepts and even the methodology
great work🎉
Hi mate, just thought you might be interested that we found this effect in Australian stocks back in 2013. The reference is Bowers, Heaton (2013) "What Does High Dimensional Factor Analysis Tell us About Risk Factors in the Australian Stock Market", and it was published in Applied Economics (I'm the Bowers part of that - Colin T Bowers). I actually also found it in US stocks almost two decades ago as part of a Masters research thesis. Interesting to see the effect is still alive and well today! I always felt like there was more to say about the fact that these methods always find the equal-weighted is a better fit than the value-weighted, which contradicts what classical portfolio theory tells us we should see. I never got around to looking in it further though.
WOw,thank you so much
Could you elaborate on the third reason the Ito integral is important in finance? Thanks. (I didn't get the part about holdings/innovations etc.)
After I finished this entire playlist does it mean I will qualify to become quant
respeced sir solution?
Why can we write Sigma tilde as P’xSigmaxP? 5:34
You are so bad at communicating with laymen then you will absolutely, never, never grow your channel to 100,000 subs. You have to stop explaining as if you are talking to experts. Experts wouldn't care because they already know this stuff.
Peace be upon you. Please send me books related to the subject. Thank you.
Peace be upon you. Please send me books related to the subject. Thank you.
This is so based
You said that half of the financial risk management literature is written using stochastic calculus, what is the other half written using?
discrete time. note, the statement was a couple of years ago. recently, the ratio changed. as more and more data applications are run, most analysis is in discrete time.
@@CRAM-KITso is stochastic calculus less useful ? Is it because data is based on real observations rather than estimations?
nice
Subtitle your video or enable automatic subtitles
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Thanks very much for the wonderful videos. What is an ITO process?
Hello ... I'm an electronics engineer trying to enter in to finance. I'm exploring all the solutions that I can. So I came across with your channel, it seems great content! I've seen that you did some videos on Kalman, however this type of filter is applicable only to gaussian distributions, which is not the case for the majority of the instruments/assets. Did you know if the finance industry explored/uses Particle Filters or Sequential Monte Carlo as an alternative to Kalman filters? ... Another questions, but this one regarding Factors I've seen that you use PCA, but again for that you need to assume several things on your data and the main one is that the several parameters (factors) that you are trying to apply reduction are linearly related. Did you've tried anything rather than PCA? thanks. Regards Daniel
great questions. it shows you are a deep data thinker! yes, there is published research on alternative, non-linear and non-Gaussian filters. Note, KF is L2 optimal even if shocks are not Gaussian. Linearizing the system has shown some success as particle and sequential monte carlo filters have their robustness issues as well; at least in our experiments. Last, PCA is good for Gaussian data. Kernel PCA and Instrumental PCA has been recently applied to account for nonlinearities in data.
It makes sense to say that increments of W_t are not only pairwise independent.
Thank you!
Can you provide some examples or link for the use of fubini's trick, used for integrating stochastic integral.
That is an error in the data. as simple as that. I have checked it in other sources. These jumps didn't occur in that period.
I agree. I was simply surprised by that finding
Is that possible to extract what is the weight of stocks for the first pc?
yes, that can be done
and this is what's behind the algorithm of current popular AI image generative model. (I am serious)
please feel free to give us more insights
Dr. Ulrich, I really appreciate your pedagogical approach--not too theoretical but still mathematically rigorous and hands-on. Are slides you present in these videos available anywhere? Regards, Nathan
I might have slides. My experience is that these calculations need to be shown on the white board
For those viewers, who are a bit rusty in linear ODEs, it can be mentioned that the application of the product rule 2:10 is based on the following calculation : dln(u)/dt = du/dt/u(t) = p(t) -> du/dt = p(t)u(t)
Great explanation! Thank you
before I found this course, I was scared by "stochastic calculus" I was like what does that even mean? then I came across with this baby course, I am like ahh! it is differential equation i did in my uni course but the answer is pdf rather than a normal equation! much clearer, simpler, great introduction to stochastic calculus for a newbie like me :) thank you so much!
you are speaking very low even i can't hear you properly in earbuds
these are old recordings with insufficient testing. sorry
@@CRAM-KIT nevertheless nice of u to do them - thanks!
Hey do you know of any good books on learning stochastic calculus?
kerry back: asset pricing and portfolio choice. for real stoch calc, go to oksendal book on SDEs or any math fin book on financial mathematics.
@@CRAM-KIT thanks for the reply, I'm reading through Oksendal's book rn but find it to be so dry and stale.
Very Detailed Information and video! Thank you!
Brilliant! Thank you!
Great video
4:39 what the video name is? I cannot find separable Ito SDE viedo in your channel..
th-cam.com/video/HOH2xvvaDL0/w-d-xo.html
The volume is way too low
yes; that was not our intention. any idea on how to fix is without re-recording?
Great explanation.
That biscuit line really got me!
Great lecture! Thanks!
thanks.
such a good motivation from ODE to SDE
Hi
Thank you Sir
Very clear explanation.
Thanks so much for this awesome work. Though I have a question which is abit outside this context. What is the behavior when two independent stochastic differential equations are multiplied?
same as when multiplying two independent random numbers. For the exact answer apply Ito Lemma. makes sense?
5:27 Did you mean that r_1^tilda conditioned on F_0 follows the distribution on the RHS? I'm more used to seeing ~ than a =
yes!
Thank you soo much for this, I was looking all over the internet but could not find such a simple & logical explanation of SDE...
Subscribed, liked and appreciated. Thank you
I noticed that too. Sometimes the decimal point in their data is shifted by one on some days, thus giving a huge change in one direction and on the next day an equally large change back to the original value. Other times the faulty data is a bit random. I assume you are using yfinance, which might also be the culprit and not yahoo itself. However, I still did not find a reliable method to correct for this. If you do, let me know :)
supi tnx
The fonts are really small. Might be helpful if we can get access to the notebooks.
can we get access to the notebooks?
May I know your references?
Cannot remember. Yet, the following references might be useful: Kerry Back's book and the book/lecture notes of Claus Munk. Kind regards.
@@CRAM-KIT many thanks
The intuition was so helpful.