Analysis of Inflation Trends and Measure to Contain Them
R. Ramamoorthy1, Venkatraman2, K. Poovarasan3
1Mr. R. Ramamoorthy, Department of MBA, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
2K. Venkatraman, Department of Civil Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
3K. Poovarasan, Department of MBA, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
Manuscript received on 14 August 2019 | Revised Manuscript received on 05 September 2019 | Manuscript Published on 17 September 2019 | PP: 358-361 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B13860882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1386.0882S819
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Swelling is a significant macroeconomic pointer, which estimates the adjustment in the general degree of costs of merchandise and ventures. The month to month time arrangement of the yearly expansion rate is characterized as the development pace of the month to month time arrangement of the shopper value list as for the comparing month of the earlier year. The yearly expansion rate may not generally be the fitting proportion of swelling, for the most part because of the way that it doesn’t give cutting-edge data on the degree of swelling. The symphonious investigation demonstrates that the yearly expansion rate misshapes and defers the data regarding the month to month swelling rate. This end can be critical in the anticipating of the swelling rate, just as during the time spent financial basic leadership. The new strategy for the development of the yearly swelling rate estimates is proposed. The preferred position is that it can catch breaks and different hazards later on advancement of the time arrangement.
Keywords: Inflation, Macroeconomic Indicator, Harmonic Analysis.
Scope of the Article: Structural Reliability Analysis