![]() Since most trends are linear or quadratic, regression analysis and the moving average method establish the linear relationship between variables. Time-series data has at least one systematic pattern, with the most common patterns being either trends or seasonality. Therefore, past performance may not always be indicative of future performance. Although such past data may help estimate future values, it’s always important to note that the future and the past are independent. Time-series data can be used to predict the future values of a given financial vehicle. Other appropriate examples could be the set of monthly profits (both positive and negative) earned by Samsung between the 1 st of October 2018 and the 1 st of December 2018. ![]() That the observations are made at specific points in time means time intervals are discrete.Ī good example of time-series data could be the daily or weekly closing price of a stock recorded over a period spanning 13 weeks. Time-series data refers to a set of observations made over a given period of time at specific and equally-spaced time intervals.
0 Comments
Leave a Reply. |