Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/3919
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dc.contributor.authorChakrabarti, Binay Bhushan-
dc.date.accessioned2022-08-30T08:39:09Z-
dc.date.available2022-08-30T08:39:09Z-
dc.date.issued2021-09-
dc.identifier.urihttps://ir.iimcal.ac.in:8443/jspui/handle/123456789/3919-
dc.descriptionBiosketch: 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.abstractWhy 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.isoen_USen_US
dc.publisherThe Financial Research and Trading Laboratory (FRTL), IIM Calcuttaen_US
dc.subjectQuantum Financeen_US
dc.subjectFinancial instrumentsen_US
dc.subjectBlack-Scholes-Mertonen_US
dc.subjectQuantum Mechanicsen_US
dc.subjectWave-Particle Dualityen_US
dc.subjectStock Marketen_US
dc.subjectQuantum Theoryen_US
dc.subjectComputational Financeen_US
dc.subjectForecasting Pricesen_US
dc.subjectFinancial Marketsen_US
dc.subjectTrading and Hedgingen_US
dc.titleQuantum Finance – The New Frontieren_US
dc.typeArticleen_US
Appears in Collections:Issue 2, September 2021 (9th Anniversary Issue)

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