Статьи

This research investigates the Russian stock market response to COVID-19 pandemic and compares how the reactions to it varied among the industries. The event study and Wavelet coherence were applied to answer the research question. It was discovered that the Russian stock market in general had a strong negative reaction to the COVID-19 outbreak.

However the response to the fi rst case was stronger than the response to the fi rst COVID-19
related death. It was also discovered that most of the industries reacted to the pandemic in line
with the overall negative reaction of the market, with transportation and fi nancial sectors demonstrating the most strong response. The returns of the different sectors showed high coherence during the fi rst wave of the pandemic that is another fi nding. However, the chemical sector reacted rather moderately to the COVID-19 and demonstrated lower coherence with the other sectors during the fi rst wave of the pandemic, so it might be benefi cial to include the stocks of the chemical companies in the portfolio for its diversifi cation. The results obtained have practical value for the investors (in terms of portfolio construction) and governmental regulators that are trying to mitigate the impact of the shocks on the stock market.

The outstanding Russian soil scientist N.M. Tulaykov lived and worked at the beginning of the twentieth century, and made a great contribution to the scientific basis of agriculture in southern Russia. Coming from the poorest peasant family, he received an excellent education and worked with other eminent scientists. In 1908-1910 he was sent on a scientific and practical trip to the USA, Germany and Britain. In 1910 he was appointed as a director of Bezenchukskaya agricultural experiment station. From 1915 he headed the Agricultural Chemical Laboratory in Petrograd; from 1918 he was a Chairman of the Agricultural Scientific Committee at the Russian Ministry of Agriculture. From 1920 to the end of his life he headed the field-growing department at Saratov experimental station and was a professor at Saratov Agricultural Institute. He developed and promoted the dry farming system to combat famine (including famine in the Volga region in 1921-1923). He was unjustly repressed and died tentatively in 1937-1938 in the Solovki or in prison in Saratov.

The paper considers a new method for finding patterns in a chaotic system and an algorithm implementing it that automatically computes geometric, physical, and other possible interactions based on preferences between objects in a chaotic system in a reasonable computational time, selecting the only possible solution from the whole population. The algorithm has P-class simplicity in solving NP-class problems, bringing machine intelligence as close as possible to human intelligence. Descriptions of original solutions to a number of technical and creative problems are presented.

There are the main points of the derivation of the differential equations of the Earth’s rotational motion. The periods of oscillation of the Earth’s axis are grounded by the angular momentum theorem. The constants of the equations, the initial conditions, and the theory of their computations are discussed. The results of integrating the equations over time intervals from 0.1 year to 1 million years are considered. The theory of solutions transformation to the mobile plane of the Earth’s orbit is considered for millions of years, and the solution results are presented at different time intervals from 100 years to 20 million years. The evolution of the Earth’s axis is analyzed. It is established that the Earth’s axis precesses with respect to a fixed direction in space, which differs from the direction of the precession of planetary orbits. Physical explanations of the received oscillations of the Earth’s axis from 14.68° to 32.68° are given. The oscillations of the Earth’s rotation period are shown. Evidence of the reliability of the solutions obtained is presented. The work is of interest to a wide range of researchers in the fields of astronomy, paleoclimate and geophysics.