This paper uses the wavelet methodology to analyze the dynamics of inflation in Mexico at different frequencies over time. First, we analyze the monthly behavior of the headline, core, and noncore inflation from January 2007 to December 2018. Subsequently, the decomposition shows that the shocks...

We explore the cost of implicit leverage associated with an S&P 500 Index futures contract and derive an implied financing rate (the Futures-Implied Rate or FIR), based on a simple model of stock and futures, without any explicit arbitrage or other relationship to market interest rates. We...

We discuss the results of the statistical tolerance test of the General Administration Management component of the Capital Expenditure of the Bangalore Municipal Corporation which carries ahead our two previous connected studies (A. Sathyavathi (2023(a)), Analysis of the General Administration...

In continuation of our previous study (A. Sathyavathi (2023). Analysis of the General Administration Management Expenditure of the Bangalore Municipal Corporation https://www.ssrn.com/abstract=4403863 ; http://dx.doi.org/10.2139/ssrn.4403863 ) we propose to further analyze the sample of the...

In this very first paper of a series of forthcoming research papers of ours, which we propose to bring out in near future regarding the detailed statistical and mathematical analysis of the financial resources and the budget of the Bangalore Municipal Corporation (more appropriately now called...

This study aims to find out how high the level and trends of student misconceptions experienced by high school students in Indonesia. The subject of research that is a class XI student of Natural Science (IPA) SMA Negeri 1 Anjatan with the subject matter limit function. Forms of research used in...

In machine learning and data science literature, clustering is the task of dividing the observations (data points) into several categories in such a way that data points falling into one group are being dissimilar than the data points falling to the other groups such that the variation within a...

Wavelet analysis, although used extensively in disciplines such as signal processing, engineering, medical sciences, physics and astronomy, has not yet fully entered the economics discipline. In this discussion paper, wavelet analysis is introduced in an intuitive manner, and the existing...

Selecting proper methods of data modelling is crucial in geosciences, as effective data visualization enables better understanding of complex geological phenomena: processes, structure and dynamics. Various approaches of the data analysis by R language include both traditional methods of linear...

The study presents an analysis of the sediment thickness compared with bathymetric and geophysical settings in the Bay of Bengal and Andaman Sea, Indian Ocean. It uses a combination of the high-resolution data: topographic GEBCO, satellite and marine gravity anomalies, EGM2008 geoid and GlobSed...