Ivan Kitov
Ivan Kitov
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Ivan Kitov
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ABOUT
I am a Doctor of Physics and Mathematics, Lead Researcher at the Institute for the Geospheres' Dynamics, Russian Academy of Sciences. Founding member of the Society for the Study of Economic Inequality
Published three monographs in economics and finances:
Deterministic mechanics of pricing
Mechanics of personal income distribution
mechanomics. Economics as Classical Mechanics
All available on amazon.com
The author of 50+ articles and working papers on macroeconomics and finances, all available via RePEc (http://ideas.repec.org/e/pki113.html)
Co-editor of the journal "Theoretical and Practical Research in Economic Fields"
Published three monographs in economics and finances:
Deterministic mechanics of pricing
Mechanics of personal income distribution
mechanomics. Economics as Classical Mechanics
All available on amazon.com
The author of 50+ articles and working papers on macroeconomics and finances, all available via RePEc (http://ideas.repec.org/e/pki113.html)
Co-editor of the journal "Theoretical and Practical Research in Economic Fields"
SNAPSHOT
- Description: Professor. Trading frequency: Infrequent
- Interests: Bonds, Stocks - long
COMPANY
BLOG
Economics as Classical Mechanics
Economics is a hard science with robust links between measured variables such as GDP, population, inflation, labor force participation, productivity, personal income distribution, S&P 500, prices of goods and services, stock prices, etc.
Book
Deterministic mechanics of pricing
The book presents a deterministic description of future prices of stocks, goods and services and commodities. Statistically, observed and predicted prices are cointegrated. The overall price inflation is a linear and lagged function of the growth rate of labor force, with projections foreseeing a deflationary ...More
period since 2012. There are long-term sustainable trends in the differences between various CPI and PPI subcategories. A deterministic link has been found between stock prices and CPI. To validate the link, empirical models for fifty four S&P 500 companies are presented, with statistically robust price predictions months ahead. One can compile a dynamic portfolio with a deterministic profit. In July 2008, the model would have accurately forecasted negative share prices of Lehman Brothers and AIG. The predictions are likely reliable until their influence on the stock market is negligible. Finally, we validate the link between the S&P 500 returns, real GDP per capita and the number of 9-year-olds in the United States.
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