Measuring the efficiency of Philippine stock market sectors
Measuring the efficiency of Philippine stock market sectors
FEATURED PUBLICATION:
J.M.V. Antenorcruz, M.C.F. Manzano, and R.C. Batac, Ranking the market efficiency of the Philippine stock exchange industry sectors using the multifractal detrended fluctuation analysis, Journal of Physics: Conference Series 1593, 012018, https://doi.org/10.1088/1742-6596/1593/1/012018 (2020).
In the complex world of finance, the efficiency of a stock market is more than just a buzzword; it is a measure of how quickly prices adjust to new information. When a market is efficient, investors react instantly to news, making it difficult to "beat the system" using historical data.
To uncover these hidden patterns within the Philippine Stock Exchange (PSE), a 2020 study by physicists Jude Maria V. Antenorcruz, Maria Carla F. Manzano, and Rene C. Batac applied a sophisticated lens usually reserved for complex physical systems: Multifractal Detrended Fluctuation Analysis (MF-DFA).
Instead of treating stock prices as simple linear trends, the researchers analyzed the multifractality of different industry sectors. They did so by calculating the generalized Hurst exponent for each sector, and getting the spread (maximum minus minimum) of the Hurst exponent over the range of parameters considered. A higher degree of multifractality, characterized by a large spread of the Hurst exponent, typically indicates a less efficient market; conversely, a lower degree of multifractality, with small differences in the maximum and minimum Hurst exponents, indicate a more efficient one.
The plot of the generalized Hurst exponent H vs. the moment order q shows a generally monotonically increasing trend. The maximum minus the minimum H is a measure of market efficiency. Here, the different sectors of the Philippine Stock Exchange (PSE) index show different Hurst exponent spreads.
Upon doing this analysis to the different sectors of the Philippine Stock Exchange (PSE), the results revealed a different efficiency values among the country’s industries. The Properties sector emerged as the most efficient, suggesting that real estate and land development stocks in the Philippines incorporate new information more rapidly than others. On the opposite end of the spectrum, the Services sector was identified as the most inefficient. This lag implies that investors in services do not react as swiftly to market-moving news, potentially allowing for price trends to linger and providing savvy traders with more opportunities to predict future movements based on past patterns.
Ranked from most efficient to least efficient (using linear detrending), the study placed the sectors in the following order: Properties, Mining and Oil, Holding Firms, Industrial, Finance, and finally, Services. Interestingly, even when the researchers adjusted their mathematical models to account for more complex trends (using quadratic and cubic detrending), the anchor sectors remained the same: Properties stayed at the top of the efficiency ladder, while Services consistently remained at the bottom.
This research bridges the gap between statistical physics and financial economics, proving that the tools used to understand natural phenomena can also decode the chaotic behavior of human markets. ◼