Brief Sketch of Solutions: Tutorial 2. 2) graphs. 3) unit root tests

Similar documents
Brief Sketch of Solutions: Tutorial 1. 2) descriptive statistics and correlogram. Series: LGCSI Sample 12/31/ /11/2009 Observations 2596

LAMPIRAN. Null Hypothesis: LO has a unit root Exogenous: Constant Lag Length: 1 (Automatic based on SIC, MAXLAG=13)

Appendixes Appendix 1 Data of Dependent Variables and Independent Variables Period

Donald Trump's Random Walk Up Wall Street

Kabupaten Langkat Suku Bunga Kredit. PDRB harga berlaku

Notes on the Treasury Yield Curve Forecasts. October Kara Naccarelli

Forecasting the Philippine Stock Exchange Index using Time Series Analysis Box-Jenkins

Lampiran 1 : Grafik Data HIV Asli

Export and Import Regressions on 2009Q1 preliminary release data Menzie Chinn, 23 June 2009 ( )

LAMPIRAN. Tahun Bulan NPF (Milyar Rupiah)

Lampiran 1. Data Penelitian

LAMPIRAN. Lampiran I

Econometric Models for the Analysis of Financial Portfolios

POLYTECHNIC OF NAMIBIA SCHOOL OF MANAGEMENT SCIENCES DEPARTMENT OF ACCOUNTING, ECONOMICS AND FINANCE ECONOMETRICS. Mr.

LAMPIRAN LAMPIRAN. = Pengeluaran Konsumsi Masyarakat (milyar rupiah) = Jumlah Uang Beredar (milyar rupiah) = Laju Inflasi (dalam persentase)

Financial Econometrics: Problem Set # 3 Solutions

ANALYSIS OF CORRELATION BETWEEN THE EXPENSES OF SOCIAL PROTECTION AND THE ANTICIPATED OLD AGE PENSION

LAMPIRAN PERHITUNGAN EVIEWS

FIN 533. Autocorrelations of CPI Inflation

Hasil Common Effect Model

Anexos. Pruebas de estacionariedad. Null Hypothesis: TES has a unit root Exogenous: Constant Lag Length: 0 (Automatic - based on SIC, maxlag=9)

SUSTAINABILITY PLANNING POLICY COLLECTING THE REVENUES OF THE TAX ADMINISTRATION

Appendix. Table A.1 (Part A) The Author(s) 2015 G. Chakrabarti and C. Sen, Green Investing, SpringerBriefs in Finance, DOI /

Economics 442 Macroeconomic Policy (Spring 2015) 3/23/2015. Instructor: Prof. Menzie Chinn UW Madison

ملحق رقم( 1 ): الا نحدار للدالة اللوغریثمیة للناتج المحلي الا جمالي

BEcon Program, Faculty of Economics, Chulalongkorn University Page 1/7

The Influence of Leverage and Profitability on Earnings Quality: Jordanian Case

Estimating Egypt s Potential Output: A Production Function Approach

The relationship between the exchange rate and employment in Iran

Lampiran I Data. PDRB (Juta Rupiah) PMA (Juta Rupiah) PMDN (Juta Rupiah) Tahun. Luas Sawit (ha)

Lampiran 1. Data Penelitian

The Frequency of Wars*

Per Capita Housing Starts: Forecasting and the Effects of Interest Rate

Lampiran 1. Tabulasi Data

9. Appendixes. Page 73 of 95

The Effects of Oil Price Volatility on Some Macroeconomic Variables in Nigeria: Application of Garch and Var Models

RELATIVE ANALYSIS OF MCX ENERGY AND MCX METAL INDEX

Openness and Inflation

The Relationship Between Internet Marketing, Search Volume, and Product Sales. Honors Research Thesis

An empirical study on the dynamic relationship between crude oil prices and Nigeria stock market

Relative Effectiveness of Fiscal and Monetary Policies in Nigeria

BYLAAG: E-VIEWS RESULTATE VAN DIE MODEL VAN VOORRAADINVESTERING IN SUID-AFRIKA

FBBABLLR1CBQ_US Commercial Banks: Assets - Bank Credit - Loans and Leases - Residential Real Estate (Bil, $, SA)

CHAPTER 5 MARKET LEVEL INDUSTRY LEVEL AND FIRM LEVEL VOLATILITY

MODELING EXCHANGE RATE VOLATILITY OF UZBEK SUM BY USING ARCH FAMILY MODELS

Factor Affecting Yields for Treasury Bills In Pakistan?

Empirical Analysis of Private Investments: The Case of Pakistan

Does it influence? Macro variables on stock returns.

LAMPIRAN 1. Retribusi (ribu Rp)

THE EFFECTIVENESS OF EXCHANGE RATE CHANNEL OF MONETARY POLICY TRANSMISSION MECHANISM IN SRI LANKA

Santi Chaisrisawatsuk 16 November 2017 Thimpu, Bhutan

DATA PENELITIAN. Pendapatan Nasional (PDB Perkapita atas Dasar Harga Berlaku) Produksi Bawang Merah Indonesia MB X1 X2 X3 X4 X5 X6

IMPACT OF FOREIGN INSTITUTIONAL INVESTMENT FLOWS

TESTING THE HYPOTHESIS OF AN EFFICIENT MARKET IN TERMS OF INFORMATION THE CASE OF THE CAPITAL MARKET IN ROMANIA DURING RECESSION

Analysis of the Influence of the Annualized Rate of Rentability on the Unit Value of the Net Assets of the Private Administered Pension Fund NN

ARCH modeling of the returns of first bank of Nigeria

esia/perkembangan/

Interactions between United States (VIX) and United Kingdom (VFTSE) Market Volatility: A Time Series Study

Ateyah Alawneh 1. Correspondence: Ateyah Alawneh, College of Business, Tafila Technical University, Jordan.

Assist. Prof. Dr. Nuray İslatince 1

Impact of Direct Taxes on GDP: A Study

Monetary Economics Portfolios Risk and Returns Diversification and Risk Factors Gerald P. Dwyer Fall 2015

An Examination of Seasonality in Indian Stock Markets With Reference to NSE

Supplementary Materials for

THE PORTFOLIO RISK MANAGEMENT AND DIVERSIFICATION BENEFITS FROM THE SOUTH AFRICAN RAND CURRENCY INDEX (RAIN)

An Analysis of Stock Returns and Exchange Rates: Evidence from IT Industry in India

On the Importance of Labour Productivity Growth: Portugal vs. Ireland

HOW EFFECTIVE IS THE NIGERIAN OIL-PRICE-BASED FISCAL RULE?

UJI COMMON EFFECT MODEL

DATA VARIABEL PENELITIAN

Measuring Volatility of Inflation in Pakistan

Foreign and Public Investment and Economic Growth: The Case of Romania

Trade Misinvoicing and Macroeconomic Outcomes in India

23571 Introductory Econometrics Assignment B (Spring 2017)

VOLATILITY. Time Varying Volatility

Research Article The Volatility of the Index of Shanghai Stock Market Research Based on ARCH and Its Extended Forms

Chapter-3. Sectoral Composition of Economic Growth and its Major Trends in India

Fall 2004 Social Sciences 7418 University of Wisconsin-Madison Problem Set 5 Answers

Financial Risk, Liquidity Risk and their Effect on the Listed Jordanian Islamic Bank's Performance

COTTON: PHYSICAL PRICES BECOMING MORE RESPONSIVE TO FUTURES PRICES0F

Forecasting Inflation in Kenya Using Arima - Garch Models

Lampiran 1 Lampiran 1 Data Keuangan Bank konvensional

GARCH Models. Instructor: G. William Schwert

The Impact of Monetary Policies on Nigeria s Unemployment: Lessons for Poverty Reduction in Nigeria

الملحق رقم (1): یوضح متغیرات النموذج.

INFLUENCE OF CONTRIBUTION RATE DYNAMICS ON THE PENSION PILLAR II ON THE

LAMPIRAN-LAMPIRAN. A. Perhitungan Return On Asset

Nexus between stock exchange index and exchange rates

Trading Volume and Fama-French Three Factor Model on Excess Return. Empirical Evidence from Nairobi Security Exchange

Monetary Policy and Economic Stability in Nigeria: An Empirical Analysis

Chapter 4 Level of Volatility in the Indian Stock Market

LAMPIRAN. Lampiran 1. Wilayah Tahun PAD JOW PDRB JH JR Yogyakarta

Photovoltaic deployment: from subsidies to a market-driven growth: A panel econometrics approach

Journal of Applied Science and Agriculture

Employment growth and Unemployment rate reduction: Historical experiences and future labour market outcomes

LAMPIRAN. A. Data. PAD (juta) INVESTASI (%) PDRB (juta) Kulon Progo. Bantul. Gunung Kidul. Sleman

Exchange Rate and Economic Performance - A Comparative Study of Developed and Developing Countries

An Investigation of Effective Factors on Export in Iran

Influence of Macroeconomic Indicators on Mutual Funds Market in India

Microfinance, the Role and Impact on Macroeconomic Indicators of the Country. Case study: Albania

Transcription:

Brief Sketch of Solutions: Tutorial 2 2) graphs LJAPAN DJAPAN 5.2.12 5.0.08 4.8.04 4.6.00 4.4 -.04 4.2 -.08 4.0 01 02 03 04 05 06 07 08 09 -.12 01 02 03 04 05 06 07 08 09 LUSA DUSA 7.4.12 7.3 7.2.08 7.1.04 7.0 6.9.00 6.8 -.04 6.7 6.6 -.08 6.5 01 02 03 04 05 06 07 08 09 -.12 01 02 03 04 05 06 07 08 09 3) unit root tests Null Hypothesis: LUSA has a unit root Exogenous: Constant Lag Length: 2 (Automatic based on SIC, MAXLAG=26) t-statistic Prob.* Augmented Dickey-Fuller test statistic -1.713873 0.4241 Test critical values: 1% level -3.432965 5% level -2.862581 10% level -2.567370 *MacKinnon (1996) one-sided p-values. Augmented Dickey-Fuller Test Equation Dependent Variable: D(LUSA)

Date: 07/12/11 Time: 09:21 LUSA(-1) -0.002881 0.001681-1.713873 0.0867 D(LUSA(-1)) -0.107790 0.020674-5.213883 0.0000 D(LUSA(-2)) -0.076238 0.020668-3.688736 0.0002 C 0.020211 0.011843 1.706606 0.0880 R-squared 0.017499 Mean dependent var -6.63E-05 Adjusted R-squared 0.016230 S.D. dependent var 0.013791 S.E. of regression 0.013679 Akaike info criterion -5.744243 Sum squared resid 0.434646 Schwarz criterion -5.734355 Log likelihood 6687.426 Hannan-Quinn criter. -5.740640 F-statistic 13.79156 Durbin-Watson stat 1.983636 Prob(F-statistic) 0.000000 Null Hypothesis: D(LUSA) has a unit root Exogenous: None Lag Length: 1 (Automatic based on SIC, MAXLAG=26) t-statistic Prob.* Augmented Dickey-Fuller test statistic -38.70248 0.0000 Test critical values: 1% level -2.565956 5% level -1.940960 10% level -1.616608 *MacKinnon (1996) one-sided p-values. Augmented Dickey-Fuller Test Equation Dependent Variable: D(LUSA,2) Date: 07/12/11 Time: 09:22 D(LUSA(-1)) -1.186700 0.030662-38.70248 0.0000 D(LUSA(-1),2) 0.077441 0.020659 3.748492 0.0002 R-squared 0.553816 Mean dependent var 8.59E-06 Adjusted R-squared 0.553624 S.D. dependent var 0.020478 S.E. of regression 0.013682 Akaike info criterion -5.744663 Sum squared resid 0.435211 Schwarz criterion -5.739719 Log likelihood 6685.916 Hannan-Quinn criter. -5.742862 Durbin-Watson stat 1.983794

Null Hypothesis: LJAPAN has a unit root Exogenous: Constant, Linear Trend Lag Length: 2 (Automatic based on SIC, MAXLAG=26) t-statistic Prob.* Augmented Dickey-Fuller test statistic -2.123236 0.5319 Test critical values: 1% level -3.961989 5% level -3.411739 10% level -3.127752 *MacKinnon (1996) one-sided p-values. Augmented Dickey-Fuller Test Equation Dependent Variable: D(LJAPAN) Date: 07/12/11 Time: 09:23 LJAPAN(-1) -0.003788 0.001784-2.123236 0.0338 D(LJAPAN(-1)) -0.089325 0.020719-4.311233 0.0000 D(LJAPAN(-2)) -0.062482 0.020714-3.016392 0.0026 C 0.016620 0.008006 2.075905 0.0380 @TREND(12/29/2000) 8.67E-07 5.86E-07 1.479555 0.1391 R-squared 0.013372 Mean dependent var -2.67E-05 Adjusted R-squared 0.011673 S.D. dependent var 0.016538 S.E. of regression 0.016441 Akaike info criterion -5.375918 Sum squared resid 0.627660 Schwarz criterion -5.363558 Log likelihood 6259.881 Hannan-Quinn criter. -5.371415 F-statistic 7.867862 Durbin-Watson stat 2.001486 Prob(F-statistic) 0.000003 Null Hypothesis: D(LJAPAN) has a unit root Exogenous: None Lag Length: 1 (Automatic based on SIC, MAXLAG=26) t-statistic Prob.* Augmented Dickey-Fuller test statistic -37.85002 0.0000 Test critical values: 1% level -2.565956 5% level -1.940960 10% level -1.616608

*MacKinnon (1996) one-sided p-values. Augmented Dickey-Fuller Test Equation Dependent Variable: D(LJAPAN,2) Date: 07/12/11 Time: 09:27 D(LJAPAN(-1)) -1.154893 0.030512-37.85002 0.0000 D(LJAPAN(-1),2) 0.063874 0.020709 3.084309 0.0021 R-squared 0.544343 Mean dependent var 1.31E-05 Adjusted R-squared 0.544147 S.D. dependent var 0.024360 S.E. of regression 0.016447 Akaike info criterion -5.376454 Sum squared resid 0.628943 Schwarz criterion -5.371510 Log likelihood 6257.504 Hannan-Quinn criter. -5.374652 Durbin-Watson stat 2.001640 4) Correlogram dusa Date: 07/12/11 Time: 09:31 Sample: 12/29/2000 12/03/2009 Included observations: 2329 * * 1-0.101-0.101 23.989 0.000 * * 2-0.066-0.077 34.269 0.000 3 0.049 0.034 39.765 0.000 4-0.020-0.017 40.707 0.000 5-0.023-0.022 41.988 0.000 6-0.009-0.019 42.196 0.000 7-0.022-0.027 43.285 0.000 8 0.058 0.053 51.169 0.000 9-0.017-0.008 51.814 0.000 10 0.018 0.025 52.598 0.000 11-0.002-0.005 52.609 0.000 12-0.017-0.013 53.289 0.000

Dependent Variable: DUSA Date: 07/12/11 Time: 09:29 Convergence achieved after 3 iterations AR(1) -0.109259 0.020659-5.288614 0.0000 AR(2) -0.077441 0.020659-3.748492 0.0002 R-squared 0.016223 Mean dependent var -6.63E-05 Adjusted R-squared 0.015800 S.D. dependent var 0.013791 S.E. of regression 0.013682 Akaike info criterion -5.744663 Sum squared resid 0.435211 Schwarz criterion -5.739719 Log likelihood 6685.916 Hannan-Quinn criter. -5.742862 Durbin-Watson stat 1.983794 Inverted AR Roots -.05-.27i -.05+.27i Residual check Date: 07/12/11 Time: 09:30 Sample: 1/03/2001 12/03/2009 Included observations: 2327 Q-statistic probabilities adjusted for 2 ARMA term(s) 1 0.006 0.006 0.0728 2 0.002 0.002 0.0790 3 0.029 0.029 1.9817 0.159 4-0.024-0.024 3.3399 0.188 5-0.026-0.025 4.8712 0.181 6-0.012-0.012 5.1831 0.269 7-0.019-0.017 6.0200 0.304 8 0.056 0.057 13.355 0.038 9-0.010-0.011 13.584 0.059 10 0.020 0.020 14.552 0.068 11-0.000-0.005 14.552 0.104 12-0.012-0.010 14.888 0.136

Squared residual check Date: 07/12/11 Time: 09:30 Sample: 1/03/2001 12/03/2009 Included observations: 2327 Q-statistic probabilities adjusted for 2 ARMA term(s) * * 1 0.189 0.189 83.526 *** *** 2 0.392 0.369 441.66 * * 3 0.211 0.113 545.38 0.000 ** * 4 0.300 0.150 755.63 0.000 *** ** 5 0.359 0.260 1057.0 0.000 ** * 6 0.300 0.138 1267.7 0.000 *** * 7 0.353 0.152 1559.6 0.000 ** * 8 0.270 0.080 1730.3 0.000 ** 9 0.302 0.066 1943.0 0.000 ** 10 0.267 0.039 2110.1 0.000 Heteroskedasticity Test: ARCH F-statistic 17.44120 Prob. F(1,2325) 0.0000 Obs*R-squared 17.32623 Prob. Chi-Square(1) 0.0000 Test Equation: Dependent Variable: RESID^2 Date: 07/12/11 Time: 09:31 Sample: 1/03/2001 12/03/2009 Included observations: 2327 C 0.000176 1.25E-05 14.13080 0.0000 RESID^2(-1) 0.060923 0.014588 4.176266 0.0000 R-squared 0.007446 Mean dependent var 0.000187 Adjusted R-squared 0.007019 S.D. dependent var 0.000591 S.E. of regression 0.000589 Akaike info criterion -12.03403 Sum squared resid 0.000808 Schwarz criterion -12.02908 Log likelihood 14003.59 Hannan-Quinn criter. -12.03223 F-statistic 17.44120 Durbin-Watson stat 1.772490 Prob(F-statistic) 0.000031

Correlogram djapan Date: 07/12/11 Time: 09:37 Sample: 12/29/2000 12/03/2009 Included observations: 2329 * * 1-0.085-0.085 17.033 0.000 2-0.056-0.064 24.358 0.000 3-0.012-0.023 24.709 0.000 4 0.017 0.011 25.405 0.000 5 0.029 0.030 27.345 0.000 6 0.000 0.007 27.345 0.000 7-0.007-0.002 27.449 0.000 8 0.010 0.010 27.674 0.001 9-0.046-0.047 32.723 0.000 10-0.001-0.010 32.728 0.000 Dependent Variable: DJAPAN Date: 07/12/11 Time: 09:34 Sample (adjusted): 1/01/2001 12/03/2009 Included observations: 2329 after adjustments Convergence achieved after 5 iterations MA Backcast: 12/28/2000 12/29/2000 MA(1) -0.092585 0.020713-4.469973 0.0000 MA(2) -0.055721 0.020713-2.690169 0.0072 R-squared 0.011551 Mean dependent var -2.78E-05 Adjusted R-squared 0.011126 S.D. dependent var 0.016531 S.E. of regression 0.016439 Akaike info criterion -5.377502 Sum squared resid 0.628825 Schwarz criterion -5.372562 Log likelihood 6264.101 Hannan-Quinn criter. -5.375702 Durbin-Watson stat 1.998067 Inverted MA Roots.29 -.19

residual check Date: 07/12/11 Time: 09:35 Sample: 1/01/2001 12/03/2009 Included observations: 2329 Q-statistic probabilities adjusted for 2 ARMA term(s) 1 0.000 0.000 0.0002 2-0.001-0.001 0.0014 3-0.009-0.009 0.1942 0.659 4 0.019 0.019 1.0389 0.595 5 0.030 0.030 3.1335 0.372 6 0.003 0.003 3.1615 0.531 7-0.007-0.006 3.2693 0.659 8 0.005 0.006 3.3385 0.765 9-0.045-0.046 8.0933 0.324 10-0.001-0.003 8.0978 0.424 squared residual check Date: 07/12/11 Time: 09:35 Sample: 1/01/2001 12/03/2009 Included observations: 2329 Q-statistic probabilities adjusted for 2 ARMA term(s) * * 1 0.134 0.134 41.886 *** *** 2 0.399 0.388 413.54 ** * 3 0.235 0.181 542.96 0.000 ** * 4 0.319 0.178 781.21 0.000 * 5 0.156-0.007 837.83 0.000 ** 6 0.243 0.045 975.97 0.000 ** * 7 0.229 0.115 1099.0 0.000 * 8 0.188 0.034 1181.9 0.000 * 9 0.157-0.013 1239.9 0.000 ** * 10 0.262 0.123 1400.2 0.000 Heteroskedasticity Test: ARCH F-statistic 42.55847 Prob. F(1,2326) 0.0000 Obs*R-squared 41.82972 Prob. Chi-Square(1) 0.0000 Test Equation: Dependent Variable: RESID^2 Date: 07/12/11 Time: 09:36

Sample (adjusted): 1/02/2001 12/03/2009 Included observations: 2328 after adjustments C 0.000234 1.48E-05 15.77810 0.0000 RESID^2(-1) 0.134061 0.020550 6.523686 0.0000 R-squared 0.017968 Mean dependent var 0.000270 Adjusted R-squared 0.017546 S.D. dependent var 0.000669 S.E. of regression 0.000664 Akaike info criterion -11.79711 Sum squared resid 0.001024 Schwarz criterion -11.79216 Log likelihood 13733.83 Hannan-Quinn criter. -11.79531 F-statistic 42.55847 Durbin-Watson stat 2.103783 Prob(F-statistic) 0.000000 5) and 6) Estimated ARCH and GARCH Models Dependent Variable: DUSA Method: ML - ARCH (Marquardt) - Normal distribution Date: 07/12/11 Time: 09:33 Convergence achieved after 21 iterations Presample variance: backcast (parameter = 0.7) GARCH = C(3) + C(4)*RESID(-1)^2 Variable Coefficient Std. Error z-statistic Prob. AR(1) -0.250516 0.010546-23.75378 0.0000 AR(2) -0.108498 0.011068-9.802626 0.0000 Variance Equation C 0.000113 2.60E-06 43.49436 0.0000 RESID(-1)^2 0.460919 0.030177 15.27388 0.0000 R-squared -0.003839 Mean dependent var -6.63E-05 Adjusted R-squared -0.005136 S.D. dependent var 0.013791 S.E. of regression 0.013826 Akaike info criterion -5.889800 Sum squared resid 0.444086 Schwarz criterion -5.879912 Log likelihood 6856.783 Hannan-Quinn criter. -5.886197 Durbin-Watson stat 1.702075 Inverted AR Roots -.13+.30i -.13-.30i Dependent Variable: DUSA Method: ML - ARCH (Marquardt) - Normal distribution Date: 07/12/11 Time: 09:33 Convergence achieved after 15 iterations

Presample variance: backcast (parameter = 0.7) GARCH = C(3) + C(4)*RESID(-1)^2 + C(5)*GARCH(-1) Variable Coefficient Std. Error z-statistic Prob. AR(1) -0.078021 0.023798-3.278396 0.0010 AR(2) -0.039815 0.021548-1.847737 0.0646 Variance Equation C 1.01E-06 1.70E-07 5.937241 0.0000 RESID(-1)^2 0.068783 0.007511 9.157151 0.0000 GARCH(-1) 0.923804 0.007670 120.4508 0.0000 R-squared 0.014066 Mean dependent var -6.63E-05 Adjusted R-squared 0.012368 S.D. dependent var 0.013791 S.E. of regression 0.013705 Akaike info criterion -6.276432 Sum squared resid 0.436165 Schwarz criterion -6.264072 Log likelihood 7307.629 Hannan-Quinn criter. -6.271929 Durbin-Watson stat 2.046779 Inverted AR Roots -.04+.20i -.04-.20i Dependent Variable: DJAPAN Method: ML - ARCH (Marquardt) - Normal distribution Date: 07/12/11 Time: 09:34 Sample (adjusted): 1/01/2001 12/03/2009 Included observations: 2329 after adjustments Convergence achieved after 18 iterations MA Backcast: 12/28/2000 12/29/2000 Presample variance: backcast (parameter = 0.7) GARCH = C(3) + C(4)*RESID(-1)^2 Variable Coefficient Std. Error z-statistic Prob. MA(1) -0.177031 0.015503-11.41916 0.0000 MA(2) -0.024248 0.014504-1.671755 0.0946 Variance Equation C 0.000213 5.92E-06 35.91945 0.0000 RESID(-1)^2 0.222687 0.020124 11.06550 0.0000 R-squared 0.004180 Mean dependent var -2.78E-05 Adjusted R-squared 0.002895 S.D. dependent var 0.016531 S.E. of regression 0.016507 Akaike info criterion -5.423527 Sum squared resid 0.633514 Schwarz criterion -5.413646 Log likelihood 6319.697 Hannan-Quinn criter. -5.419927 Durbin-Watson stat 1.833313 Inverted MA Roots.27 -.09

Dependent Variable: DJAPAN Method: ML - ARCH (Marquardt) - Normal distribution Date: 07/12/11 Time: 09:34 Sample (adjusted): 1/01/2001 12/03/2009 Included observations: 2329 after adjustments Convergence achieved after 9 iterations MA Backcast: 12/28/2000 12/29/2000 Presample variance: backcast (parameter = 0.7) GARCH = C(3) + C(4)*RESID(-1)^2 + C(5)*GARCH(-1) Variable Coefficient Std. Error z-statistic Prob. MA(1) -0.087007 0.023921-3.637236 0.0003 MA(2) -0.017207 0.020603-0.835179 0.4036 Variance Equation C 4.33E-06 1.03E-06 4.223317 0.0000 RESID(-1)^2 0.088672 0.009109 9.734272 0.0000 GARCH(-1) 0.896568 0.010355 86.58149 0.0000 R-squared 0.009937 Mean dependent var -2.78E-05 Adjusted R-squared 0.008233 S.D. dependent var 0.016531 S.E. of regression 0.016463 Akaike info criterion -5.604880 Sum squared resid 0.629852 Schwarz criterion -5.592529 Log likelihood 6531.883 Hannan-Quinn criter. -5.600380 Durbin-Watson stat 2.008033 Inverted MA Roots.18 -.09