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Financial engineering that makes money visible

Attention to those who want to study stocks! But, you are studying stocks without knowing financial engineering? How about learning how to make money properly through financial engineering from the basics?

(3.5) 4 reviews

63 learners

  • mcalab
Financial Engineering
Investment

What you will learn!

  • Financial Engineering

  • stock

  • Quant

I see money 👀
financial engineering

If you say you're studying stocks, you've probably been scammed at least once, where you pay money and receive strange 'flyers' or learn ridiculous techniques that make you feel like you're going to become rich.

It may seem absurd, but you shouldn't make such choices blinded by money. These methods might seem like a quick win, leading you to believe they're making money, but in the long run, they're quite risky.

I believe these things happen because we lack the resources to develop our own secrets or properly study stocks. I hope this financial engineering course will empower you to analyze and study stock data using a mathematical approach .

Also, for developers interested in studying quantitative analysis or developing automated stock trading programs , consider this fundamental material and consider spending time studying it together.

It's no exaggeration to say we live in a stock market era. It's self-evident that studying the theoretical aspects before studying stocks is a good idea. The answer lies in financial engineering.

Financial engineering is a discipline that studies and mathematically analyzes derivative products such as stocks and securities.
I think it would be good to study more meaningful 'investment' through this financial engineering.


✔️ This lecture

• The lectures are conducted at a level suitable for beginners.
• It enhances understanding of the content through various examples.
• Presents uncluttered content through a clean PPT.  
• Theory and practice will be covered separately for each course.  


🧑‍💻 Browse lectures

<Unit 1> Probability

Before studying financial engineering, you'll learn the fundamentals of probability and random variables. This will help you understand the nature of probability and calculate expected values.

<Unit 2> Normal random variables

• Among the concepts of random variables learned in Unit 1, we will cover continuous random variables and, most crucially, the concept and properties of normal random variables. This will help you understand the relationship between the binomial and normal distributions and aid in your understanding of geometric Brownian motion.

<Unit 3> Geometric Brownian Motion

• You will understand the concepts and characteristics of geometric Brownian motion and Brownian motion, and learn about the similarities and differences between the two. This will help you understand the information needed to predict future stock prices.

<Unit 4> Interest Rates and Present Value Analysis

• Learn the fundamental concepts of financial engineering and understand them through various examples. This will help you understand the basic concepts and calculate present value and rates of return.

<Unit 5> Pricing through Finance

• Learn the concepts of options and finance and see how finance is used to determine prices in a variety of models, including the single-period binomial option model.

<Unit 6> The Principle of No Finance

• You will learn about the no-finance principle and use it to find the no-finance price of a unique option in a multiperiod binomial distribution model.


🙋‍♂️ Lecture Q&A

Q. Can non-majors also take the course?

A. Yes, of course. Even if you're not a math major, it won't be difficult because it'll be explained step-by-step from the beginning.

Q. Why should I study financial engineering?

A. If you want to approach stocks mathematically and make meaningful investments, I recommend financial engineering. It's also essential for those interested in studying the current hot topic of quant analysis.

Q. What kind of jobs can I get if I study financial engineering?

A. You can develop quantitative and automated trading programs through financial engineering.

Q. Is there anything I need to prepare before attending the lecture?

A. None. All you need is the determination to follow along diligently.

Recommended for
these people

Who is this course right for?

  • For those who want to study stocks properly

  • Anyone who wants to study financial engineering

  • For those who wish to study financial mathematics

  • For those who wish to study quant

Hello
This is

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Learners

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Reviews

4.1

Rating

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Courses

회사 소개

MCA 연구센터는 맞춤형 기업 컨설팅(연수교육, 데이터분석가 양성 컨설팅), 암호 알고리즘 연구 및 블록체인 플랫폼 개발 회사입니다.

- 국가기관 연수교육 : 사무관 및 실무 공무원 대상 통계학, 데이터분석 강의

- ㈜아이티고 온라인 교육: 데이터 분석 및 통계학 강의, 암호학 강의

(경영 빅데이터 분석사, 재무 빅데이터 분석사, ADSP, ADP, 통계직 공무원 대상 통계학등)

- ㈜위브앱솔루션 : 앱개발 고급통계 기법 및 알고리즘 기술자문

- 퀀트 및 금융 관련 앱 개발 스타트업 기업 : 알고리즘 트레이딩, 퀀트 관련 기술 자문

- 성균관대 대수센터 참여연구 (과제: 타원곡선과 그 적용 문제 연구(암호학관련))

- 카이스트 참여연구 (과제: 보형형식의 산술성 및 분할수 연구)

Curriculum

All

16 lectures ∙ (4hr 46min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

4 reviews

3.5

4 reviews

  • sungjunyoon5723님의 프로필 이미지
    sungjunyoon5723

    Reviews 1

    Average Rating 3.0

    3

    100% enrolled

    Cảm ơn bạn vì bài giảng tuyệt vời.

    • moonsukahn1881님의 프로필 이미지
      moonsukahn1881

      Reviews 11

      Average Rating 5.0

      5

      100% enrolled

      Đó là một bài giảng tốt.

      • hakjuknu4522님의 프로필 이미지
        hakjuknu4522

        Reviews 153

        Average Rating 5.0

        5

        100% enrolled

        Tốt!

        • artist님의 프로필 이미지
          artist

          Reviews 4

          Average Rating 4.0

          1

          19% enrolled

          Tôi nghĩ nó nên được liệt kê như một bài giảng lý thuyết. Tôi nghĩ bạn có thể nghe các bài giảng về công thức toán trên YouTube. Người mới bắt đầu sẽ thấy thú vị gì khi nghe nếu toàn bộ bài giảng chỉ là một bài giảng lý thuyết chính thức? Bạn có nghĩ rằng bốn điều kiện và bài giảng được khuyến nghị cho loại người này là đúng không? Tôi nghe bài giảng thứ 4 và không thể tin được cho đến cuối, nhưng thật là lãng phí tiền bạc. Đây có phải là lý do tại sao bạn muốn tham gia các bài giảng trả phí? Bạn có đang trả tiền cho những bài giảng lố bịch và thực sự gây khó chịu ngay cả khi bạn trả tiền cho chúng không? Tôi hiểu tại sao không có đánh giá khóa học. Hãy hoàn lại tiền cho tôi

          • artist

            Đừng tin tưởng vào các bài đánh giá bài giảng. Bài giảng này giải thích các công thức toán học. Nó không giúp được gì cả. Đây không phải là một bài giảng mà là một công thức toán học.

        $22.00

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