the essay is an economics paper abt the relation between S&P500 and NASDAQ, using regression and other statistical tools

ESTIMATING THE S & group A; P 500 AND THE NASDAQ: VARIABLES THAT AFFECT EACH

Estimating the S & P 500 and the NASDAQ: Variables That Affect Each

Introduction

Here in the coupled States our economy has experienced many different changes, which has resulted in motley growths and recessions. Researchers come studied the ups and downs of the occupation market and have assay to predict what may come. However like the roll of the dice, predicting the stock market is a game of chance. We can look to the recent in order to see which variables have influenced the market.

This paper examines a list of variables and their affect on the S & P 500 as wellspring as the NASDAQ. The following is a list of variables we have chosen to test their affect on each of these indexes: Producer Price Index, completely commodities, not seasonally set; Consumer Price Index for all urban consumers, all items seasonally adjusted; Civilian Unemployment Rate, percentage seasonally adjusted; Balance of Payment Basis (trade balance, goods and services), millions of dollars seasonally adjusted; federal official Funds Rate, daily percentages; Currency in Circulation, billions of dollars, not seasonally adjusted; All Employees (finance, insurance, real estate), thousands, seasonally adjusted; M1 notes Stock, billions of dollars, seasonally adjusted; Inventories, millions of dollars, seasonally adjusted.

The two indexes selected for this paper argon highly correlated.



Due to their high correlation, the economic indicators listed above were move in a spreadsheet and ran through various tests as well as a regression analysis. The S & P 500 is a list of the top 500 companies in the stock market and the NASDAQ is an index consisting mainly of technology firms. We have found that due to the recent demand for technology, the NASDAQ has played a significant role in the economy blending...

The literature polish is extremely poor, and only copies text directly from S&P and NASDSAQ Web sites. No studies or actual literature is cited anywhere in the review.


All of the statistical analysis is missing.

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