Fish market industry analysis

 Norway is the world's leading salmon producer, where the aquaculture industry is one of the largest export industries in Norway and is constantly growing. The salmon price is very volatile, and it is desirable to find good price estimators. This report looks at Lerøy, OSEBX and Fish Pool November 2004 to November 2020 both in daily and monthly frequencies. I have used the daily dates of FISH as the reference dates for the analysis. The monthly frequencies are estimated to be the last price of each month in the time series, and all data is based on logarithmic returns.

Time series econometrics, Excel, EViews and Python are used to calculate different models in empirical analyze. Timeseries plots, distributional plots and cross correlation models are all tested to determine where well these prices can be explained. In addition to the descriptive analysis for both daily and monthly frequencies of data we have performed regression analysis of Lerøy as the dependent variable and returns of Osebx and returns of Fish as the independent variables error correction models have been calculated and tested for how volatility differ across assets and time. At the end, we show the GARCH (1,1) model for all series where look at the volatility dynamics for the assets in-sample. Se full analysis here.