Preview

Using Simple Regression Model to Explain the Relationship Between 3-Month T-Bill Rate and Dow-Jones Index

Powerful Essays
Open Document
Open Document
1539 Words
Grammar
Grammar
Plagiarism
Plagiarism
Writing
Writing
Score
Score
Using Simple Regression Model to Explain the Relationship Between 3-Month T-Bill Rate and Dow-Jones Index
Using the simple regression model to explain the relationship between 3-Month T-bill rate and Dow Jones Index

Index 1. Introduction………………………………………………3

2. Modeling the relationship between the 3-Month T-bill rates and Dow Jones Index (First Model)……………………3

3. Hypothesis and Testing…………………………………...4

4. Empirical Analysis………………………………………...5

5. Further Comparison………………………………………5 6. Conclusion…………………………………………………7

7. Appendix……………………………………………………8

8. Reference…………………………………………………..10

1. Introduction

The 3-month T-bill rates and Dow Jones index are really close to the whole economic environment; the 3-month T-Bill rates are the preeminent default-risk-free rates in the US money market that is often used by researchers to proxy the risk-free asset whose existence is assumed by much conventional finance theory. Given their importance and visibility, it is not surprising that these interest rates has been studied extensively in economic and finance. Dow Jones Index, undoubtedly, is one of the most important economic indicators of the global financial market, This paper investigates the relationship between these two important economic data. In order to cover the business circle, the data which I choose is from 2001/01/01-2010/12/31, including the subprime lending crisis period. I use SAS and excel to get the information which indicates the relationship between these two representing data.

2. Modeling the relationship between the 3-Month T-bill rates and Dow Jones Index (First Model)

In order to present the relationship between the 3-Month T-Bill rates and Dow Jones index by our SAS output result, I constructed a single regression model:
Y=β0+β1X
(β0 = the intercept of 3-Month T-bill rate)
(β1 = the slope of Dow Jones Index)

3-Month T-Bill rate=-0.04883+0.00000670*Dow Jones Index

This means that when the Dow Jones Index increased by one point, the 3-Month T-bill rates will increase by 0.00067%. According to the

You May Also Find These Documents Helpful

  • Powerful Essays

    You are given the following two IS curves that show how real GDP (Yt) in the current time period t depends on the current interest rate and interest rates in previous periods, where rt is the interest rate in time period t. Furthermore each time period corresponds to a quarter or three months.…

    • 2457 Words
    • 10 Pages
    Powerful Essays
  • Powerful Essays

    Fins1612 Notes

    • 17846 Words
    • 72 Pages

    Page 3: Introduction to the Financial System Page 7: Commercial Banks Page 12: The Share Market and the Corporation Page 15: Corporations Issuing Equity into the Share Market Page 19: Investors in the Share Market Page 24: Short-term Debt Page 28: Medium- to Long-term Debt Page 32: Interest Rate Determination and Forecasting Page 37: The Foreign Exchange Market Page 40: Factors that Influence the Exchange Rate Page 42: Futures Contracts and Forward Rate Agreements Page 47: Options…

    • 17846 Words
    • 72 Pages
    Powerful Essays
  • Satisfactory Essays

    SCMS 7110 Exam 2 Solutions

    • 1811 Words
    • 17 Pages

    TABLE 16-4 Given below are EXCEL outputs for various estimated autoregressive models for Coca-Cola's real operating revenues (in billions of dollars) from 1975 to 1998. From the data, we also know that the real operating revenues for 1996, 1997, and 1998 are 11.7909, 11.7757 and, 11.5537, respectively.…

    • 1811 Words
    • 17 Pages
    Satisfactory Essays
  • Satisfactory Essays

    Curreny Forecast

    • 1242 Words
    • 16 Pages

    it’s difficult that all goods are trade between all countries, and the labour cost may be…

    • 1242 Words
    • 16 Pages
    Satisfactory Essays
  • Good Essays

    Economics Quiz Paper

    • 1504 Words
    • 7 Pages

    A contractor developed a multiplicative time-series model to forecast the number of contracts in future quarters, using quarterly data on number of contracts during the 3-year period from 2006 to 2008. The following is the resulting regression equation: ln = 3.37 + 0.117 X - 0.083 Q1 + 1.28 Q2 + 0.617 Q3 where is the estimated number of contracts in a quarter X is the coded quarterly value with X = 0 in the first quarter of 2006. Q1 is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise. Q2 is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise. Q3 is a dummy variable equal to 1 in the third quarter of a year and 0 otherwise. 16-1. The best interpretation of the constant 3.37 in the regression equation is: A. the fitted value for the first quarter of 2006, after to seasonal adjustment, is 103.37. B. the fitted value for the first quarter of 2006, prior to seasonal adjustment, is log10 3.37. C. the fitted value for the first quarter of 2006, prior to seasonal adjustment, is 103.37. D. the fitted value for the first quarter of 2006, after to seasonal adjustment, is log10 3.37. 16-2. The best interpretation of the coefficient of X (0.117) in the regression equation is: A. the quarterly compound growth rate in contracts is around 11.7%. B. the quarterly compound growth rate in contracts is around 30.92%. C. the annual compound growth rate in contracts is around 30.92%. D. the annual compound growth rate in contracts is around…

    • 1504 Words
    • 7 Pages
    Good Essays
  • Powerful Essays

    Statistics Chap12, Cases

    • 2342 Words
    • 10 Pages

    The estimated regression equation relating each of the individual stocks to the S&P 500 is shown below. The value of [pic]for each equation is also shown.…

    • 2342 Words
    • 10 Pages
    Powerful Essays
  • Powerful Essays

    Business Forecasting

    • 3629 Words
    • 15 Pages

    The data of this coursework were drawn from the UK national statistics. It is a quarterly series of total consumer credit gross lending in the UK from the second quarter 1993 to the second quarter 2009. In this coursework, the first 57data will be used to establish models and the latter 8 data will be used to test if the forecast is a good fit or not. Two forecasting methods will be used in this coursework, which are a regression with Dummy Variables method and a combination of the Decomposition and Box-Jenkins ARIMA approaches. In addition, further comparison will be made between models to select out the best fit one. Then the underlying assumptions of the chosen model and sensitivity of the model to these assumptions will be discussed. All the analyses are based on the outputs working out by SPSS software.…

    • 3629 Words
    • 15 Pages
    Powerful Essays
  • Better Essays

    U.S. Economy 2004 - 2005

    • 1321 Words
    • 6 Pages

    The U.S. economy has seen its share of glory and uncertainty over the last century. Going from a leading economic giant to the assumed financial capital of the world, each year brings new challenges for the economy. This paper will examine and highlight growth, price level, interest rates and monetary policy during 2004 and 2005.…

    • 1321 Words
    • 6 Pages
    Better Essays
  • Good Essays

    Fun an Finance

    • 2294 Words
    • 10 Pages

    Nico Nelson, a management trainee at a large New York-based bank is trying to estimate the real rate of return expected by investors. He notes that the 3-month T-bill currently yields 3 percent and has decided to use the consumer price index as a proxy for expected inflation. What is the estimated real rate of interest if the CPI is currently 2 percent?…

    • 2294 Words
    • 10 Pages
    Good Essays
  • Better Essays

    Real Estate Data Set

    • 1091 Words
    • 5 Pages

    The graphic figures of stable variables are listed in the table. The team observes cost and dimension have larger scales, which leads us to believe the logarithm of two variables is weak. The team can detect weak linear association among some pairs. Though, this start examination is not adequate enough to sense the significance of descriptive variables to the house cost. When using OLS to estimate a linear regression model with all eight descriptive variables. Regression analysis is used for prediction purposes. A regression model is a statistical model that is used to predict the values of a dependent or…

    • 1091 Words
    • 5 Pages
    Better Essays
  • Powerful Essays

    Marriott Corporation

    • 3150 Words
    • 13 Pages

    S&P 500 composite and the U.S. Government 10-year bond rate. Beta is based on the…

    • 3150 Words
    • 13 Pages
    Powerful Essays
  • Satisfactory Essays

    Merrill Finch Inc.

    • 3179 Words
    • 13 Pages

    Why is T-bill’s return independent of the state of the economy? Do T-bill’s promise a completely risk-free return? Explain…

    • 3179 Words
    • 13 Pages
    Satisfactory Essays
  • Satisfactory Essays

    a. (1)Why is the T-bill’s return independent of the state of the economy? Do T-bills promise a completely risk-free return? Explain.…

    • 322 Words
    • 2 Pages
    Satisfactory Essays
  • Good Essays

    Investment and Rate

    • 1787 Words
    • 8 Pages

    This is because T-bill is regarded as an almost risk free asset as it is backed by the government. Therefore, it has lowest volatility as compared to stocks. This is also a reason that people tend to invest in T-bills instead of stocks.…

    • 1787 Words
    • 8 Pages
    Good Essays
  • Good Essays

    Bond Case Analysis

    • 644 Words
    • 3 Pages

    There was an increase in the interest rates over 1984-1986 and hence observed the actual YTM at different point in time. Three periods were selected: November 1, 1984, 1985, and 1986.…

    • 644 Words
    • 3 Pages
    Good Essays