Retour à Ingénierie financière et gestion des risques partie 1

4.6

étoiles

2,080 évaluations

•

400 avis

Financial Engineering is a multidisciplinary field drawing from finance and economics, mathematics, statistics, engineering and computational methods. The emphasis of FE & RM Part I will be on the use of simple stochastic models to price derivative securities in various asset classes including equities, fixed income, credit and mortgage-backed securities. We will also consider the role that some of these asset classes played during the financial crisis. A notable feature of this course will be an interview module with Emanuel Derman, the renowned ``quant'' and best-selling author of "My Life as a Quant".
We hope that students who complete the course will begin to understand the "rocket science" behind financial engineering but perhaps more importantly, we hope they will also understand the limitations of this theory in practice and why financial models should always be treated with a healthy degree of skepticism. The follow-on course FE & RM Part II will continue to develop derivatives pricing models but it will also focus on asset allocation and portfolio optimization as well as other applications of financial engineering such as real options, commodity and energy derivatives and algorithmic trading....

Jul 12, 2017

I appreciate how this course not only discusses the concepts in technical detail, but actually delves into the mathematics of the subject matter, and teaches how to actually do the actual work inv

Aug 11, 2015

The content of this course is apropiate for drive the finances and risk, We be lear more about this course\n\nI am Engenier in Sofware, the know of finances is aplicable in anyware software.

Filtrer par :

par Heinz S

•Aug 23, 2015

The content of the course looked promising. But then I took a first look: the instructor is reading formulas from a slide. This is missing the whole point of a online class. There is no motivation for the formulars, no context why they are important. And from a learning point of view the course is very hard to follow. No real advantage compared to reading a book on that matter.

I just took the "Economics of Money and Banking course", which is one of the best courses I ever attended (personally in class or online). There are other great courses on Coursera. And for easy introduction to some of the concepts Khan University courses are unmatched in accessability.

Too bad that this course doesn't match up to the above examples. The topics would deserve that they are presented in a way that they can be understood by a wide audience.

par Patrick M K

•Jun 03, 2018

This class is a total waste of time and money.

1-The presenter's English is not up to code, so to speak.

2-The examples are purely theoretical and lack any kind of real numbers. Greek characters proliferate unnecessarily, adding to confusion.

3-The course materials make no effort to explain formulas in a clear and concise manner.

Don't waste your time and money like I did.

par harsheel

•Jul 06, 2019

Too difficult to understand for a beginner.

par Yuqin L

•Nov 20, 2017

not sure about the whole course, but the week 1 training video is basically an instructor reading a script.

par Michael C M

•Jul 12, 2017

I appreciate how this course not only discusses the concepts in technical detail, but actually delves into the mathematics of the subject matter, and teaches how to actually do the actual work inv

par Gabriel Z

•Nov 18, 2016

I think the way it is taught is not very insightful, the lecturers clearly just read a script and make it difficult to follow. They assignment questions are often hard to understand. Most importantly, there is very little about the actual mechanism behind pricing financial instruments, instead they just state the formula.

par NGUYỄN Q T

•Jan 20, 2017

This course is amazing. The structure is very clear and coherent. It is very mathematically focused and the models are interesting. I would always recommend this course to my colleagues.

par Brian S

•Sep 25, 2019

There is no posssilbe way to pass the quizes/tests by watching the lectures. You need to find many outside resources to learn the material. Some of the quiz question principles are not even touched on in lectures. This should be considered a self study course. Also if you want to buy or use a text book to learn the material be prepared to spend $200 + otherwise good luck. The only redeeming feature is the forums.

par sebastian w

•Feb 27, 2016

Challenging course but I've really got a good sense of the mechanics of main financial instruments such as bonds, options, futures, swaptions, etc. Being able to do all the exercises in Excel is pretty convenient. Exercises are difficult because there is no feedback - it's either right or wrong.

par Hugo R M M

•Mar 05, 2019

Curso voltado para a precificação de ativos diversos, como ações fundos, swaps, etc... Houveram poucos exemplos durante as aulas, o que torna as provas bem difíceis. No início, vemos coisas próximas da nossa realidade, mas, depois da 3° ou 4° semana de curso, a entramos em um leque de ativos pouquíssimo conhecidos e utilizados na nossa realidade.

par Chandra A

•Oct 20, 2017

This subject is not as complicated as it made out to be in these videos. CFA material explains it in a much simpler way. I had to depend on CFA material to really understand what is being explained here.

par Andrea R

•Oct 27, 2018

This course effectively provides an introductory overview of the basic concepts in financial engineering world (arbitrage, discounting, fair pricing etc). I would have prefer more mathematical insight, but indeed the use of basic mathematical tools was pointed out as intentional in the course presentation. Exercises at the end of each module are really helpful to clarify the concepts exposed during the lessons. Considering the limited amount of hours devoted to such complex arguments, this course fulfills its promises.

par Priyanshu D

•Jun 16, 2019

Very helpful and very well taught course. Felt a bit short. I wish it also touched upon stochastic models for option pricing and stochastic calculus in its week 8 syllabus. Thank you for the course, overall it was a nice experience.

par Tatsunari W

•Mar 19, 2017

The course is very elementary and basic. It should be a good intro 101 for those who have never studied mathematical finance. You can also practice using Excel if you have never used it before. It could be more challenging and fun if there were more modeling questions.

par philip o

•Oct 15, 2015

course needs problems with explanations and/or better feedback on quizzes. there is no way to tell what error one has made - it could even be rounding. a student forum might be helpful, too.

application of some formulas is not clear, leading to errors on quizzes. in some cases I have used external resources to give me a way to achieve the correct result

par Igor S S

•Mar 21, 2016

I find far too theoretical, too dry; no examples, no exercise guidelines. It's almost having someone reading the slides to you. Still useful for someone like me that never done financial engineering, to find all the concepts in one place. Hence the two stars as oppose to one.

par Oluwatobiloba A

•Aug 09, 2020

The course is the clearest and most informative content on FRM I have come across. Thank you University of Columbia for this opportunity

par Michael A R

•Mar 31, 2017

Good introduction to term structure modeling, arbitrage and other similar topics, quizes were challenging and required independent thought. Good course overall, the lack of guidance on incorrect quiz questions except for through the forum is the only reason for a loss of star.

par Morgan S

•Aug 09, 2016

Good course for a dry subject. I feel that the modeling could've been more thoroughly explain. For example, the professor could've used cases to analyze/explain what relationships between variables signify in greater detail.

par Joris D

•Oct 18, 2015

The course provides a very thorough introduction on the basic models and mechanisms by which various financial products are priced. One issue I had, was that the quiz questions sometimes used terminology or jargon for which the link with the material covered in the videos was not always immediately obvious. Also, the course, especially the later modules, heavily relies on Microsoft Excel, which some people might not be willing to pay hard cash for. It is possible to pass by doing the assignments with e.g. Python, but it's a lot of work, and not for the faint of heart.

par DU Y (

•Jun 10, 2019

The instructor didn't make the his lesson easy to follow. The lecture materials were not reader-friendly.

par Ishaan K

•Dec 10, 2017

please help with questions given as test for better clearity.

par Michael J

•Aug 16, 2016

Unfortunately, no tutors/instructors present to supervise the course, which made inconsistencies between course material (slides, videos) and solutions calculated for assignments horribly annoying to deal with, especially for someone like me new to the topic. Further, the solver addin (needed for the week 6 assignment) is not consistent across different excel versions and libre calc, which resulted in a whole lot of guesswork to pass this assignment. I'm sorry to say the course never came close to my expectations, despite the very interesting topic. Would not recommend.

par Marjolein E V

•Mar 21, 2016

The teacher in the first few weeks is hard to follow; it sounds like he reads from a paper and he barely writes anything on the slides. It sounds like every sentence he says is crucial to understand, which is hard to follow. The other teacher does a much better job at this. The course would also greatly benefit with exercise material so you get a better feeling of calculating these things.

par Pat M

•Mar 21, 2017

Help on topics is very limited. Nothing more than instruction videos. Discussion forums are helpful only to solve assignments. There is hardly any input from instructor about genuine theoretical questions.

- L'IA pour tous
- Introduction à TensorFlow
- Réseau de neurones et deep learning
- Algorithmes, Partie 1
- Algorithmes, Partie 2
- Apprentissage automatique
- Apprentissage automatique avec Python
- Apprentissage automatique à l'aide de SAS Viya
- La programmation en R
- Intro à la programmation avec Matlab
- Analyse des données avec Python
- Principes de base d'AWS : Going Cloud Native
- Bases de Google Cloud Platform
- Ingénierie de la fiabilité du site
- Parler un anglais professionnel
- La science du bien-être
- Apprendre à apprendre
- Marchés financiers
- Tests d'hypothèses dans la santé publique
- Bases du leadership au quotidien

- Deep Learning
- Le Python pour tous
- Science des données
- Science des données appliquée avec Python
- Bases de la gestion d'entreprise
- Architecture avec Google Cloud Platform
- Ingénierie des données sur Google Cloud Platform
- Excel à MySQL
- Apprentissage automatique avancé
- Mathématiques pour l'apprentissage automatique
- Voiture autonome
- Révolutions Blockchains pour l'entreprise
- Business Analytics
- Compétences Excel pour l'entreprise
- Marketing numérique
- Analyse statistique avec R pour la santé publique
- Bases de l'immunologie
- Anatomie
- Gestion de l'innovation et du design thinking
- Bases de la psychologie positive