Risk Parity Portfolio

Sergey Okun  This article was written by Sergey Okun – Senior Financial Analyst, I Know First, Ph.D. in Economics.

Summary:

  • The risk parity portfolio technique enables us to identify optimal asset weights in the portfolio so that the contribution of each asset toward the total portfolio risk is equal.
  • I Know First provides daily market forecasts for a broad range of financial assets for six investment horizons from 3-day to 1-year which help to identify the most promising financial assets according to the AI algorithm.
  • We can build a portfolio based on the IKF AI algorithm, and construct the risk parity portfolio where each asset has the same risk contribution rate to the total portfolio risk.

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Sector Rotation: Constructing a Suitable Portfolio According to the Macroeconomic Environment

Sergey Okun  This article was written by Sergey Okun – Senior Financial Analyst, I Know First, Ph.D. in Economics.

Summary:

  • Different stages of the stock market require stock selections that are more suitable in the current macroeconomic environment.
  • The strategy based on sector rotation in periods of expansion and recession can generate an additional excess annual return compared with the stock market return.
  • I Know First provides the ETFs package based on the AI algorithm to find the most promising investment opportunities according to the macroeconomic environment.

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Stock Market Forecast: Chaos Theory Revealing How the Market Works

I Know First Research | May 8th 2014

How Can We Predict the Financial Markets by Using Algorithms?
Common fallacies about markets claim markets are unpredictable. However, chaos theory together with powerful algorithms proves such statements are wrong. Markets are chaotic systems with complex dynamics, yet to a certain extent we can make valid stock market forecasts. Using these forecasts generated by cutting-edge predictive algorithms together with a careful risk management strategy may give a trader a significant competitive advantage.

Markets Are Complex Systems

Looking at the common fallacies about stock markets, we can see two major groups. The first group is connected to the classical economic theory, which claims that markets are 100% efficient, and as such unpredictable. However, trying to make predictions regarding the markets is useless anyway, as no stock can be possibly be a better deal than another. Both of them are efficient and everybody in the market has perfect information available to them. From our daily lives it is obvious that this does not truly reflect reality. There are people who actually profit trading stocks, which should not be possible in this idealistic market of economy theories.

Artificial Intelligence: The Future of Trading

  2016-09-15_18-55-38  The article was written by Jacob Saphir, a Financial Analyst at I Know First.

Artificial Intelligence

Artificial Intelligence

Summary:

  • Asset management industry is downsizing
  • Popularity in indexation, shift from institutional to retail, and growth in multi-asset solutions are deterring active management
  • Artificial intelligence may be the missing link
  • I Know First Application

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Herding Behavior on the Stock Market

Sergey Okun  This article was written by Sergey Okun – Senior Financial Analyst, I Know First, Ph.D. in Economics.

Summary:

  • Herding behavior refers to the tendency of individuals to follow the actions or decisions of a larger group of people, rather than making independent decisions.
  • The CSAD model enables us to identify periods of herding behavior on the stock market.
  • We implement the CSAD model and identify cases of herding behavior on the stock market for the period from January 1st, 2020 to April 19th, 2023.

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HMM-Based Classification of Stock Market Stages

Sergey Okun  This article was written by Sergey Okun – Senior Financial Analyst, I Know First, Ph.D. in Economics.

Summary:

  • Identifying the stage of the market enables traders to adjust their investment strategies to take advantage of the current market conditions.
  • The Hidden Markov Model allows us to determine the stock market stages.
  • We uncover patterns in the S&P500 index and VIX from January 1st, 2000 to April 6th, 2023 by using HMM to identify periods of bull and bear markets.

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Market Anomaly: Holiday Stock Return Effect

Sergey Okun  This article was written by Sergey Okun – Senior Financial Analyst, I Know First, Ph.D. in Economics.

Summary:

  • A correctly identifying market anomaly can generate a profit for an investor that enables him to beat the market.
  • We have tested the Holiday effect anomaly and we have found that exploration of this anomaly cannot provide an eager return for an investor today.
  • The I Know First AI algorithm can identify working market anomalies that could be difficultly recognizable for a general investor.

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