What is quantitative finance?

Quantitative finance is the methodology of applying disciplines from mathematics, statistics, scientific computing, and finance with computer programming to financial trading and investment work. Quantitative finance allows you to build financial models that can be used for pricing a range of financial assets, including financial derivative products. You can also automate trading processes using quantitative finance. Some models even allow for solo trading without a great deal of oversight. This is achieved by setting up risk inputs, and the computer program makes trades within the limits of the risk inputs.

Why is it valuable to learn quantitative finance?

It's valuable to learn quantitative finance as you can become knowledgeable about how to analyze investment decisions while balancing asset allocation with risk management. Having this basic understanding can help you with finances in your professional and personal life. Learning quantitative finance could put you into the major leagues of financial risk management. This knowledge may help you understand the price of securities and financial derivatives. Using concepts of quantitative analysis and quantitative finance can help investors and investment clients develop and make wise decisions about their investment strategies.

What are typical careers that use quantitative finance?

Typical careers that use quantitative finance include financial engineer, quantitative financial analyst, derivatives trader, asset manager, fund manager, and financial risk manager. Learning about quantitative finance might help you find work in commercial banks, investment banks, securities industry companies, wealth management firms, and hedge funds. Experts in quantitative finance are also highly sought by accountancy firms, insurance companies, management consulting firms, and financial software companies.

How can taking online courses on Coursera help me learn quantitative finance?

When you take online courses about quantitative finance on Coursera, you could learn the fundamentals of statistical financial models, including insights into asset pricing, credit risk modeling, investment theory, algorithmic trading, and financial institutions and markets. Some of the online courses are heavily geared to learning derivatives pricing, while others spend more time and substance on machine learning, data science, and object-oriented programming.

검색
Quantitative Finance

필터링 기준

"quantitative finance"에 대한 46개의 결과

무료
University of California, Davis
Market Research
획득할 기술: Algorithms, Communication, Data Analysis, Data Visualization, Entrepreneurship, General Statistics, Leadership and Management, Market (Economics), Market Research, Marketing, Probability & Statistics, Qualitative Research, Research and Design, Strategy and Operations, Theoretical Computer Science, Writing
4.6
(1.1k개의 검토)
Beginner · Specialization · 3+ Months
무료
무료
Johns Hopkins University
Data Literacy
획득할 기술: Advertising, Change Management, Communication, Data Analysis, Data Visualization, Entrepreneurship, Feature Engineering, General Statistics, Leadership and Management, Machine Learning, Marketing, Mathematics, Probability & Statistics, Regression, Research and Design, Strategy and Operations, Survey Creation
4.6
(128개의 검토)
Beginner · Specialization · 3+ Months
무료
Universitat Autònoma de Barcelona
Sustainability of Social-Ecological Systems: the Nexus between Water, Energy and Food
획득할 기술: Marketing, Business Analysis, Data Analysis, Problem Solving, Leadership and Management, Applied Machine Learning, Communication, Strategy and Operations, ArcGIS, Entrepreneurship, Statistical Programming, Planning, Machine Learning, Research and Design, Statistical Machine Learning
4.6
(67개의 검토)
Intermediate · Course · 1-3 Months
SAS
The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats
획득할 기술: Thought, Business Analysis, General Statistics, Communication, Entrepreneurship, Big Data, Research and Design, Data Analysis, Machine Learning, Data Management, Analysis, Probability & Statistics, Statistical Analysis, Statistical Tests, Market Research, Business Case, Computational Logic, Analytics
4.8
(128개의 검토)
Beginner · Course · 1-3 Months
무료

quantitative finance과(와) 관련된 검색

finance & quantitative modeling for analysts

요약하자면, 여기에 가장 인기 있는 quantitative finance 강좌 10개가 있습니다.

Quantitative Research: University of California, Davis
Customer Insights: Quantitative Techniques: University of Illinois at Urbana-Champaign
Market Research: University of California, Davis
College Math Prep: University of North Texas
Qualitative Research: University of California, Davis
Introduction to Chemistry: Structures and Solutions: Duke University
Data Literacy: Johns Hopkins University
Sustainability of Social-Ecological Systems: the Nexus between Water, Energy and Food: Universitat Autònoma de Barcelona
Understanding economic policymaking: IE Business School
The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats: SAS

Finance에서 학습할 수 있는 스킬

양적 재무에 대한 자주 묻는 질문

Quantitative finance is the methodology of applying disciplines from mathematics, statistics, scientific computing, and finance with computer programming to financial trading and investment work. Quantitative finance allows you to build financial models that can be used for pricing a range of financial assets, including financial derivative products. You can also automate trading processes using quantitative finance. Some models even allow for solo trading without a great deal of oversight. This is achieved by setting up risk inputs, and the computer program makes trades within the limits of the risk inputs.‎
It's valuable to learn quantitative finance as you can become knowledgeable about how to analyze investment decisions while balancing asset allocation with risk management. Having this basic understanding can help you with finances in your professional and personal life. Learning quantitative finance could put you into the major leagues of financial risk management. This knowledge may help you understand the price of securities and financial derivatives. Using concepts of quantitative analysis and quantitative finance can help investors and investment clients develop and make wise decisions about their investment strategies.‎
Typical careers that use quantitative finance include financial engineer, quantitative financial analyst, derivatives trader, asset manager, fund manager, and financial risk manager. Learning about quantitative finance might help you find work in commercial banks, investment banks, securities industry companies, wealth management firms, and hedge funds. Experts in quantitative finance are also highly sought by accountancy firms, insurance companies, management consulting firms, and financial software companies.‎
When you take online courses about quantitative finance on Coursera, you could learn the fundamentals of statistical financial models, including insights into asset pricing, credit risk modeling, investment theory, algorithmic trading, and financial institutions and markets. Some of the online courses are heavily geared to learning derivatives pricing, while others spend more time and substance on machine learning, data science, and object-oriented programming.‎