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APPLICATION OF TIME SERIES ANALYSIS IN FINANCIAL ECONOMICS Statswork Nov 23  · 6 min read In this blog, I will explain to you a few applications of  Time Series Analysis  in financial economics. But, before that let us understand what exactly a  time series analysis  and  Data Analysis Time Series Analysis A time series is actually a sequence of data points recorded at regular intervals of time (yearly, quarterly, monthly, daily). Time series includes two types: 1. Univariate — involves a single variable 2. Multivariate — involves two or more variables Let me present you with a list of examples of time series: ü Monthly or daily precipitation of a region ü Daily stock prices (opening, closing) over a period of years/days. ü Monthly bike sales over a period of 3 years ü Annual unemployment rate over a period of 10 years Forecasting Time Series Data The main objective of a  Time ...

Conjoint analysis  is a statistical technique which helps to form subsets of all possible combinations of the characteristics present in the target product. These characteristics used to determine the product’s buying choice. Conjoint analysis works on the conviction that when studied together, the relative values of the attributes are calculated better than in segregation. Statswork is one among the country’s leader in providing  Data Analysis   and Statistical Consulting Services.  Contact Statswork for availing our services . The process provides information about the perception of the consumer about certain brand or brand profile characteristics and evaluates such characteristics by assigning certain levels to each characteristic. The researcher is presented with a questionnaire form called the stimuli, which consists of a set of questions that reflect different characteristics of a brand as options that consumers select as they respond to the questionnaire...