Abstract
In today's rapidly evolving financial landscape, methods as econometric modeling, predictive analysis, and risk analysis are becoming increasingly important. These methods offer critical tools for understanding and managing the potential of quantum technology in the financial sector. Quantum technology can achieve fast and precise results in data analysis, risk management, portfolio optimization, and market forecasting. However, to realize these possibilities, we need to overcome technical challenges as well as financial and strategic barriers. This paper discusses scientific awareness and proposed solutions to 'Quantum Winter' especially in the financial sector. Mitigating the risk of a 'Quantum Winter' is possible through steps such as building strategic partnerships, conducting risk analysis, developing specialized capabilities, securing government support, and establishing appropriate regulations. Econometric modeling, predictive analysis, and risk analysis are indispensable tools to understand the potential of quantum technology in the financial sector and to achieve sustainable success.
Publisher
MANAS Sosyal Arastirmalar Dergisi
Reference23 articles.
1. Biele R. D'Agosta R., (2012), "A stochastic approach to open quantum systems", J Phys Condens Matter, July 11,
2. 24(27):273201, doi: 10.1088/0953-8984/24/27/273201. Epub 2012 Jun 20.
3. Bouland, Adam, Wim van Dam, Hamed Joorati, Iordanis Kerenidis, Anupam Prakash (2020), “Prospects and
Challenges of Quantum Finance”, https://arxiv.org/pdf/2011.06492.pdf
4. Cirac, J. I., (2021), “Quantum Computing and simulation”, Nanophotonics, 10(1):453-456, De Gruyter.
5. Deodoro, J., Gorbanyov, M., Malaika, M., & Sedik, T. (2021), “Quantum Computing and The Financial System:
Spooky Action at a Distance?” Imf Working Paper.