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Statistics and Risk Modeling
Statistics and Risk Modeling
Statistics and Risk Modeling
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Bond Pricing by Vasicek Model in Python
12:56
2 месяца назад
Option Pricing with Heston Model in Python
14:17
7 месяцев назад
Hull White Term Structure Simulations in Python
12:19
8 месяцев назад
Building  XGBoost Model in Python
14:12
8 месяцев назад
Main Concepts and Implementation of gRPC
21:21
11 месяцев назад
Heston Model Simulation in Python
16:58
Год назад
Build a Simple ZeroMQ in CSharp
14:52
Год назад
Комментарии
@Gwynkek
@Gwynkek 10 дней назад
Thanks for providing this video. Just what I needed!
@mjp152
@mjp152 11 дней назад
You have lifted all this code directly from a github repo from the user cantaro86
@viveksharma-lf9tm
@viveksharma-lf9tm 23 дня назад
Very well explained
@statisticsandriskmodeling5477
@statisticsandriskmodeling5477 23 дня назад
Thank you for your encouragement
@mubashiraqeel9332
@mubashiraqeel9332 Месяц назад
if you could provide excel sheet to us now
@maryori2636
@maryori2636 Месяц назад
in you mc function, you did put r=0, and that changed a lot in your test,
@hackerborabora7212
@hackerborabora7212 Месяц назад
Best channel pls keep putting videos❤❤
@maryori2636
@maryori2636 Месяц назад
thanks man !
@HanNgoc-rb4fj
@HanNgoc-rb4fj Месяц назад
I can't access the dataset link from the video. Are there any other similar data sources available?
@roothundred2854
@roothundred2854 Месяц назад
Can you calibrate the parameter using real data? Using random values for parameters is not quite helpful.
@laahls251994
@laahls251994 2 месяца назад
Thanks a lot!!
@marianialvaro7603
@marianialvaro7603 2 месяца назад
great stuff. tks
@bjrh1052
@bjrh1052 2 месяца назад
Could you do all these procedures in R?
@spaceinvader3611
@spaceinvader3611 2 месяца назад
good stuff!
@polishcow6419
@polishcow6419 3 месяца назад
Train/test split is only 10%. Maybe you encountered overfitting. Did you tested the model on real time data?
@BeforeTomorrowBegins
@BeforeTomorrowBegins 2 месяца назад
what % do you use?
@kishanagarwal5369
@kishanagarwal5369 3 месяца назад
Can we do it in excel? I really want to do it as a personal project. 😇
@yatinmaharaj9510
@yatinmaharaj9510 3 месяца назад
Can you please do an example on excel only maybe use fewer simulations so we can understand better. Thanks so much.
@VEWfamily
@VEWfamily 3 месяца назад
Hi professor, tks for sharing. But dr is'nt equal to: delta_r = r_tree[i,j]*( kappa*theta - kappa*math.log(r_tree[i,j]) + sigma**2/2 )*dt + random_factor*r_tree[i,j] ?
@PyroAme
@PyroAme 3 месяца назад
thanks for the good content
@hkrish26
@hkrish26 3 месяца назад
Thanks for posting the codes. really appreciate !!!
@yatinmaharaj9510
@yatinmaharaj9510 3 месяца назад
Can you please show me how you calculate the forward rate in the (time varying) theta(t) formula
@travelaroundtheworld2531
@travelaroundtheworld2531 3 месяца назад
How can we find the RMSE of this model?
@anindadatta164
@anindadatta164 4 месяца назад
BSM assume that volatility is constant,Where Heston model assumes volatility of volatility is constant that is volatility's mean reversion is constant , so which assumption is less inaccurate.
@shamilalamichhane8771
@shamilalamichhane8771 4 месяца назад
Hi. Thank you for all the videos on the calibration of interest rate model. I am planning to do my project on calibration of short-term interest rate model. I have some questions on this topic. Can you help me with any doubts that I have? It would be extremely helpful.
@chandrimadebnath2859
@chandrimadebnath2859 4 месяца назад
can you give the git hub link for the code
@chandrimadebnath2859
@chandrimadebnath2859 4 месяца назад
That's a great video. Thanks a lot.
@Pitinovolley
@Pitinovolley 4 месяца назад
Hello, tell me, how can I contact you? I would like to clarify some questions about the data that is presented in your code. Can I write to you by email or other messenger?
@muhamadamharrayadin8014
@muhamadamharrayadin8014 5 месяцев назад
It's very usefull, thanks mister
@mohammedalruqimi2813
@mohammedalruqimi2813 5 месяцев назад
Thank you for this video. is there any implmentation or hints about the fractional heston ?
@NiccoloTanini
@NiccoloTanini 5 месяцев назад
How to do it for the CIR model?
@statisticsandriskmodeling5477
@statisticsandriskmodeling5477 3 месяца назад
I made another video about building trinomial tree for CIR model at ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-JyFVxgWiecE.html . Hopefully it is helpful.
@Psychology-in-Life
@Psychology-in-Life 5 месяцев назад
can you share the coding and datasets? by the way, now coming up the ifrs9 ecl calculation, do you have a video about that?
@lokeshsharma4177
@lokeshsharma4177 6 месяцев назад
Thank You Very Much, Sir. Please could you also a part II video that explains how we provide latent space vector values into a model as input and how using those inputs a model can build a NEW image.
@jiahengzhang207
@jiahengzhang207 6 месяцев назад
Really appreciate your sharing
@reubenmarfo9855
@reubenmarfo9855 6 месяцев назад
How do I get all the predicted values for the 1 year forecast. I need all the average values for each data point of the one year prediction
@reubenmarfo9855
@reubenmarfo9855 6 месяцев назад
Could you provide the basis or the origin of the continuous volatility formula
@reubenmarfo9855
@reubenmarfo9855 6 месяцев назад
could you please explain how you got the expression (rt-d rt-1)^2/(rt+b) for the residual of the discretized CIR model?
@Vipperson970
@Vipperson970 6 месяцев назад
Thank you!
@way2worldoffinance436
@way2worldoffinance436 6 месяцев назад
This video is a great asset and value add. Excellent.
@statisticsandriskmodeling5477
@statisticsandriskmodeling5477 6 месяцев назад
Thank you for your encouragement!
@InduRani-l1d
@InduRani-l1d 7 месяцев назад
Amazing work Sir @statisticsandriskmodeling5477. Can you please provide the code?
@srinip825
@srinip825 7 месяцев назад
Hello, Thanks for creating this video. I will test this and share feedback. Under what conditions is Heston preferable over a SABR model ?
@Vipperson970
@Vipperson970 7 месяцев назад
Thank you for the great video! Could you also explain when to build trinomial trees for Black-Karasinski model? Or maybe you can just recommend the literature where it can be learned
@statisticsandriskmodeling5477
@statisticsandriskmodeling5477 6 месяцев назад
I published a video about building trinomial trees for Black-Karasinski model in my RU-vid channel. Hope that video is helpful.
@Vipperson970
@Vipperson970 6 месяцев назад
❤️
@tonyashanahan
@tonyashanahan 7 месяцев назад
💐 P r o m o s m
@jimjiang15
@jimjiang15 7 месяцев назад
Thank you that is very helpful. Is there any chance if you can share the code samples?
@statisticsandriskmodeling5477
@statisticsandriskmodeling5477 7 месяцев назад
Please use the GitHub link in the description to get the Python codes.
@kavinkumarr1518
@kavinkumarr1518 7 месяцев назад
Hi Max Meng, I have a question about the parameter calibration. I looked at the previous video you had made couple of years ago on HW1F calibration. How does the calibration flow work here ? Do we assume long term mean levels \theta(t) such that it coincides with the yield of ZC bonds over different maturities of t and then Calibrate \alpha and \sigma using option instruments (such as swaption or cap or floor )? Also , let us say that we are valuing Bermudan swaptions under AMC approach using HW1F model , wouldn't it make sense to work with time varying volatility ?
@vaibhavsatish413
@vaibhavsatish413 8 месяцев назад
THIS video made my concepts so clear. Thank you so much.
@ryangermain5716
@ryangermain5716 8 месяцев назад
I have been running the code on Ethereum daily data and the performance is no where near the performance in this video. Im using daily data from 2017 to now. I have also tried using bitcoin daily data and i am still getting the same performance metrics.
@ryangermain5716
@ryangermain5716 8 месяцев назад
(2048, 3) (228, 3) LogisticRegression() : Training Accuracy : 0.5536501574577727 Validation Accuracy : 0.5320705320705321 SVC(kernel='poly', probability=True) : Training Accuracy : 0.4671218627731654 Validation Accuracy : 0.44375144375144376 XGBClassifier(base_score=None, booster=None, callbacks=None, colsample_bylevel=None, colsample_bynode=None, colsample_bytree=None, device=None, early_stopping_rounds=None, enable_categorical=False, eval_metric=None, feature_types=None, gamma=None, grow_policy=None, importance_type=None, interaction_constraints=None, learning_rate=None, max_bin=None, max_cat_threshold=None, max_cat_to_onehot=None, max_delta_step=None, max_depth=None, max_leaves=None, min_child_weight=None, missing=nan, monotone_constraints=None, multi_strategy=None, n_estimators=None, n_jobs=None, num_parallel_tree=None, random_state=None, ...) : Training Accuracy : 0.9397762191048763 Validation Accuracy : 0.4949179949179949
@ryangermain5716
@ryangermain5716 8 месяцев назад
nice model, i created one with a gru. Have you tried making 3 classifications based on buy hold and sell?
@JuanCarlosSantillan-h9j
@JuanCarlosSantillan-h9j 8 месяцев назад
Hello, I am really interested in your work, and would like to learn more about it. Do you have a personal email address were we can correspond? Thank you.
@hx3tube
@hx3tube 8 месяцев назад
so the HJM is calibrated to historical data, not traded instruments? how can you say it is risk neutral then?
@kxm73
@kxm73 4 дня назад
aren't volatilities the same in both the measures?
@sethgafa7690
@sethgafa7690 8 месяцев назад
How can i get your Github user name to download the codes for the program?
@statisticsandriskmodeling5477
@statisticsandriskmodeling5477 8 месяцев назад
Please click the link in the description to download the codes.
@JaiShriRamJaiRaghuveer
@JaiShriRamJaiRaghuveer 8 месяцев назад
great