Time Series Analysis Final Project: Hang Seng Index Modeling and Forecasting using
R
I. Data chosen
The data chosen for our research are daily values of Hang Seng index in the period of time
from the 5th January 2009 till 28th May 2013.
The Hang Seng Index is a free float adjusted market capitalization weighted stock market
index in Hong Kong. It is used to record and monitor daily changes of the largest
companies of the Hong Kong stock market and is the main indicator of the overall market
performance in Hong Kong. The 48 constituent companies represent about 60% of
capitalization of the Hong Kong Stock Exchange.
During this year’s course of Time Series Analysis, textbook used in the class put a big
emphasis on financial returns and methods of modeling them. We decided to choose data
which we could later turn into daily returns as it was most likely, according to the
historical examples described in the textbook, to get simple ARMA model with significant
GARCH effect. We believe that students of financial major, who don’t specialize in
quantitative methods, should master these two concepts as they are most likely encounter
them during the everyday job.