FRACTAL ANALYSIS OF PHILIPPINES INFLATION RATE
DOI:
https://doi.org/10.69546/99gt89ilKeywords:
inflation rate, trend, forecasting, fractalAbstract
Forecasting the movement of the inflation rate is essential in determining economic growth and stability. This study examined the volatility of Philippine inflation rate for the past six decades using the concept of fractal analysis as a basis for forecasting the inflation rates in the next ten years. The study revealed that despite a mixture of domestic and international problems, an inflation rate of our country remains to be stable. Moreover, a minimal dwindle in the projected inflation rate was noted but showed significant unstable result in the fractal dimension due to unforeseen factors and events that may happen in the future.References
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Benancke, B. (2007). Inflation, expectations and inflation forecasting, A speech delivered at the monetary Workshop of the National Bureau of Economic Research Summer Institute, Cambridge Massachusetts.
Fisher, J., Liu, C. and Zhou, R. (2002). When can we forecast inflation? Federal Reserve Bank of Chicago, Economic Perspectives, Q1, 30-42.
Kushida, Kenji. (2008). Philippine economy during martial law. Retrieved from www.standford.edu/group/sjeaa/journal3/geasia2.pdf on March 3, 2014.
Mariano, F. D .R. and Claveria, R. (2003). The Bangko Central structural long term inflation, forecasting model for the Philippines. Journal of Mathematical Systems, Estimation and Control.
Mariano, R. S. (1985). Forecasting monthly inflation in the Philippines. The Philippine Institute for Development Studies. Retrieved from http://www.nscb.gov.ph/ecstat/d_price.asp on March 5, 2014.
Yu, J. (2007). Forecasting inflation rate in the Philippines: Linear vs markov-switching model. 10th National Convention on Statistics (NCS), EDSA Shangri-La Hotel. October 1-2, 2007
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Published
2014-06-30
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Section
BUSINESS, MANAGEMENT AND ECONOMICS
