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DC Field | Value | Language |
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dc.contributor.author | Chakrabarti, Binay Bhushan | - |
dc.date.accessioned | 2022-08-30T08:39:09Z | - |
dc.date.available | 2022-08-30T08:39:09Z | - |
dc.date.issued | 2021-09 | - |
dc.identifier.uri | https://ir.iimcal.ac.in:8443/jspui/handle/123456789/3919 | - |
dc.description | Biosketch: Prof Binay Bhushan Chakrabarti is a former Professor of Finance at IIM Calcutta and an ex- Director-incharge of IIM Ranchi. He is a Mechanical Engineer from Jadavpur University, Calcutta (Gold medalist), PGDM from IIM Calcutta (Gold medalist), Cost Accountant from the Institute of Cost Accountants of India, and Ph. D in Economics from Jadavpur University, Calcutta. He has worked in the industry for 24 years, primarily in the manufacturing and financial services sector. Apart from teaching at IIM Calcutta, he has been a visiting professor at IIM Ahmedabad and other IIMs, including CFVG, Vietnam, ESCP Paris, National University of Singapore, Asian Institute of Technology, Bangkok, Reims Business School, Bordeaux Business School, and ESC Toulouse in France. He has published more than forty research papers in international and domestic journals. He is also on the editorial board of a₹tha. | en_US |
dc.description.abstract | Why do we need Quantum Finance? The answer is - for more intelligent forecasting and trading systems than available otherwise. We use theories of finance to price financial instruments. But we often cannot provide an analytical solution like a formula to price a financial product. An example is stock option pricing. Though there is a closed-form solution with the Black-Scholes-Merton model with inherent inadequacies, we still need to adopt alternate numerical solutions and computer simulations to price options (for example, the Heston model). This is the area of computational finance. But computational finance solutions on existing computers are slow to converge to a solution leading to inaccurate pricing and trading strategies in quickly changing markets. So, researchers have been trying to develop alternate computing techniques since the 1990s. Quantum finance, inspired by the development of quantum mechanics, is an alternative. Better pricing of financial instruments, which can positively impact trading and hedging strategies, becomes much more intelligent, accurate, and close to “reality” with the development of quantum finance models and artificial intelligence. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | The Financial Research and Trading Laboratory (FRTL), IIM Calcutta | en_US |
dc.subject | Quantum Finance | en_US |
dc.subject | Financial instruments | en_US |
dc.subject | Black-Scholes-Merton | en_US |
dc.subject | Quantum Mechanics | en_US |
dc.subject | Wave-Particle Duality | en_US |
dc.subject | Stock Market | en_US |
dc.subject | Quantum Theory | en_US |
dc.subject | Computational Finance | en_US |
dc.subject | Forecasting Prices | en_US |
dc.subject | Financial Markets | en_US |
dc.subject | Trading and Hedging | en_US |
dc.title | Quantum Finance – The New Frontier | en_US |
dc.type | Article | en_US |
Appears in Collections: | Issue 2, September 2021 (9th Anniversary Issue) |
Files in This Item:
File | Description | Size | Format | |
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Quantum Finance – The New Frontier.pdf | Quantum Finance – The New Frontier | 15.77 MB | Adobe PDF | View/Open |
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