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October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.
October 5, 2026
‘The Climate Transition Is Not Necessarily a Limitation for Business
Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.

 

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Опционное хеджирование фондовых индексов: преимущества сигналов фундаментального и технического анализов

Экономика и математические методы. 2021. № 2. С. 106–120.
Лопушанский Д. И., Sokolova T., Teplova T.

The paper identifies country specific features of hedging strategies for stock indices. We propose the methodology of the optimization hedging parameters (the time of entering and exit, the type of an option strategy) based on the synthesis of technical (TA) and fundamental analysis (FA) indicators. Country differences in the design of the authors’ strategies are demonstrated on the tests for 20 stock indices in the period from 1980 to 2020. The research methodology is to optimize the parameters of hedging strategies for the each country on the training sample with checking the effect on the test sample. The Sharpe ratio is maximized. The originality of our paper is in the model
constructions for missing data series (index futures and put options) and testing both on historical data and on simulated data under two different assumptions about the behavior of the underlying asset price: the random walk model and the Markov-switching volatility model. For each country index, more than 18,000 combinations of parameters are analyzed. Our research shows that the synthesis of fundamental (FA) and technical analysis (TA) gives the best option hedging result. We reveal country peculiarities both in the preferences of FA and TA indicators and in the use of option strategies. The estimates on historical and simulated data allow us to draw a conclusion about the patterns in the dynamics of the stock index. The random walk hypothesis receives additional support for the US market. In the coronavirus situation, the proposed methodology allows investors to effectively hedge the risks of drawdown.

Research target: Economics and Management
Language: Russian
Full text
DOI
Keywords: хеджирование timingразвивающиеся рынки капиталаОпционные стратегиитехнический анализhedgingФундаментальный анализdeveloping marketsfundamental analysisoption strategiesdeveloped marketsразвитые рынки technical analysisstock indicesфондовые индексывыбор времени хеджирования
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