Need help in EVIEWS DATA ANALYSIS
FIRST NEED DATA COLLECTED BEFORE PROCEEDING.
=========
TOPIC: An Empirical Investigation of the under – pricing of IPOs in the China Stock Exchange (or USA, or UK Stock exchange)
=============
i hope to get the idea of my topic before you start writing the structure of my paper. so i need to communicate with you about this, I also concern about the accessable to collecting the data of my paper
so i need to communicate with writer. i strongly require that we should solve the problem as soom as possible.
My personal idea is may be aboult "the ipo underpricing about the familiy company in China"
i would like you can transtlate the formant like the "GERMAN IPOdeterminants" into china situation.
do you think that is possible
and is that time consuming and scarcity of data
========
May you tell me the which where you collect the data and how? you need to collect data
get the data of chinese companise' ipo data in usa stock market or in UK or China
=============
Methodology: A quantitative analysis is conducted using descriptive statistics and
multiple linear regression model descriptive statistics.
Especially, violations of OLS assumptions that cause
heteroscedasticity or non-normality, but also other problems like
multicollinearity need to be check.
And uses of various model ARCH, GARCH and do Johansen-Juselius
cointigration analysis to find contagion bet In the last develop the
hypothesis for dependability of IPO underprices each other in different
condition. The dependent variable underpricing is regressed on
country- and firm-specific variables. The underlying OLS assumptions
will test and robustness tests of the findings will be perform.
==========
ABSTRACT
Abstract
The concerned paper evaluates the IPO, Initial Public Offerings and its determinants in the China Stock Exchanges in the context of the levels of under-pricing. The extent of under – pricing in the Chinese capital market is comparatively higher than that of other Asian – pacific countries and advanced stock exchanges. The paper highlighted the key changes or trends in the over – pricing and under – pricing levels on industry to industry and ear to year bases. The research estimated that the overall under – pricing level at the Chinese Stock Exchange had a standard deviation of 1217.25 and was around 480.72 percent. 173 IPOs out of the total of 193 companies or firms which were listed in between the years 2003 and 2013 that is 90.57 percent of the companies, were found to be under – priced, two accurately priced whereas 16, 8.37 percent of the total were over – priced.
The overall over – pricing level was found to be 17.87 percent with a standard deviation of 14.14. The under – pricing reason analysis demonstrates that the size and age of the company is dependent on the extent of under – pricing in a positive manner whereas the offer size and the type of company’s industry is dependent on the extent of under – pricing in a negative manner. Although the offer’s timing found to have no such impact on the extent of under – pricing of IPOs in the China stock Exchange.
i do not know why you need the US market data
in the second one, we just need chinese ipo data
============
Budget = 80 USD
Need data analysis, explanations, equations, variables, graphs, tables, charts, nothing else is needed.
Also tell from where you will collect data. Hypothesis, equation is given in the file.
DEADLINE: 02 SEP 2014,
BUT NEED UPDATES BY 31 AUG.
if need will send more details via email.
Hi, I have a IT degree. I have a wide variety of skills that I am able to provide my clients. I focus on a "complete service" model when providing work to my clients....
- Professional Econometrician Academic Researcher and Writer with 10 yrs of experience
- I have done over 100 assignments in statistical analysis.
- I have done several projects in EViews in time series regression and analysis
- I am proficient in SPSS, EViews, STATA and R Project software, Vensim, and MS Excel.
- Will provide high quality, authentic results and keep your data confidential
- Quick turnaround very hardworking