Clustering plays an important role in extracting information from the noise in economic and financial time series; it is one way to perform a coarse-graining of the empirical data sets to extract stable dependence information from the surrounding noise. This discussion paper explores clustering as an econometric tool for studying dependencies between variables. It places clustering in the conte...

We propose a new approach for analyzing price fluctuations in their strongly correlated regime ranging from minutes to months. This is done by employing a self-similarity assumption for the magnitude of coarse-grained price fluctuation or volatility. The existence of a Cramér function, the characteristic function for self-similarity, is confirmed by analyzing real price data from a stock market...

National economies are not randomly distributed in the global economy, but embedded in complex networks of trade, financial flows, and international organizations. This research uses this insight to address the Convergence-Divergence debate by focusing on how network structures at the international level affect domestic policy outcomes. My thesis posits that economic forces of globalization imp...

the paper presents a multi-factor decision-making approach for prioritizing failure modes as an alternative to traditional approach of failure mode and effect analysis (fmea). the approach is based on the ‘technique for order preference by similarity to ideal solution’ (topsis). the priority ranking is formulated on the basis of six parameters (failure occurrence, non-detection, maintainability...

Explicit semantic analysis (ESA) utilizes an immense Wikipedia index matrix in its interpreter part. This part of the analysis multiplies a large matrix by a term vector to produce a high-dimensional concept vector. A similarity measurement between two texts is performed between two concept vectors with numerous dimensions. The cost is expensive in both interpretation and similarity measurement...

In this work, we shall present some novel process to measure the similarity between picture fuzzy sets. Firstly, we adopt the concept of intuitionistic fuzzy sets, interval-valued intuitionistic fuzzy sets and picture fuzzy sets. Secondly, we develop some similarity measures between picture fuzzy sets, such as, cosine similarity measure, weighted cosine similarity measure, set-theoretic similar...

Similarity concept, finding the resemblance or classifying some groups of objects and study their common properties has been the interest of many researchers. Basically, in the studies the similarity between two objects or phenomena, 2-similarity in our words, has been discussed. In this paper, we consider the case when the resemblance or similarity among three objects or phenomena of a set, 3-...

The purpose of this study is to examine the influence determinants celebrity endorser toward purchase decision a product students Malangkucecwara College Economic, Malang, East Jawa, Indonesia. in are trustworthiness, expertise, attractiveness, respect, and similarity. Population all Economic. This research uses accidental sampling with total sample 72 students. can be calculated by 4 times ind...