Misako Takayasu, a Tokyo Institute of Technology associate professor, spoke with The Nikkei about how “big data” will be used in the future to help market players manage risks based on principles of physics.
Excerpts from the interview follow.
Q: How do you use big data in your research?
A: Big data has allowed us to record human behavior and analyze it mathematically. Broader economic or social phenomena can be observed more clearly (in this way), like particles in physics.
As more and more trading data is accumulated, it is becoming increasingly possible to analyze and predict fluctuations using methods common in physics. The exponential growth of computer calculation speeds has also helped the process.
Q: What can you deduct from market data using these tools?
A: Data on ticks — the smallest increment of movement in the price of a security — can be used to gauge investor sentiment and how volatility is triggered. Market swings cannot be explained by a simple random-walk theory.
Markets become more stable when the number of contrarian investors increases. Conversely, they become unstable when more and more investors follow a market trend.
If market-followers dominate a market as it continues to climb, it will crash in the end. We may be able to explain the dynamics of a bubble with big data.
Q: What are the possible applications of big data in the market? (more…)