Chapter 1: Financial Time Series and Their Characteristics
Data used in the text:
(1) Daily simple returns of IBM, VW, EW, SP (7/3/62-12/31/03):
(Format: date, IBM, VW, EW & SP): d-ibmvwewsp6203.txt
(2) Daily simple returns of Intel stock (12/15/72-12/31/03): d-intc7303.txt
(3) Daily simple returns of 3M stock: d-3m6203.txt
(4) Daily simple returns of Microsoft stock: d-msft8603.txt
(5) Daily simple returns of Citi-group stock: d-c8603.txt
(6) Monthly simple returns of IBM, VW, EW, SP (1/26-12/03):
(Format: date, IBM, VW, EW, & SP): m-ibmvwewsp2603.txt
(7) Monthly simple returns of Intel stock: m-intc7303.txt
(8) Monthly simple returns of 3M stock: m-3m4603.txt
(9) Monthly simple returns of Microsoft stock: m-msft8603.txt
(10) Monthly simple returns of Citi-group stock: m-c8603.txt
(11) Monthly 10-yr and 1-yr Treasury constant maturity rates (4/53-3/04):
(Format: year, month, date, rate): m-gs10.txt & m-gs1.txt
(12) Daily exchange rate between U.S. dollar and Japanese yen:
(Format: ddmmyy, fx): d-fxjp00.txt
(13) Monthly bond returns (1-12m, 24-36m, 48-60m, 61-120m):
(Format: date, bond returns): m-fama-bond5203.txt
(14) Monthly 3-yr and 5-yr Treasury constant maturity rates:
m-gs3.txt and m-gs5.txt
(15) Weekly Treasury Bill rates: w-tb3ms.dat & w-tb6ms.dat
Data sets for Exercises:
1. Daily simple stock returns of American Express, Caterpillar, and Starbucks: d-3stock.txt
2. Monthly simple returns of IBM stock, VW, EW, and S&P:
m-ibm3dx7503.txt
3. See S&P returns in Problem 2.
4. See American Express stock returns in Problem 1.
5. Exchange rates of Canadian Dollar: d-fxca00.txt
United Kingdom Pound: d-fxuk00.txt,
Japanese Yen: d-fxjp00.txt, and
Euro: d-fxeu00.txt versus U.S. Dollar.
Chapter 2: Linear Time Series Analysis and Its Applications
Data sets used in the chapter:
(1) Monthly IBM stock returns: m-ibm2697.txt
(2) Monthly returns of VW index: m-vw2697.txt
(3) Growth rate of U.S. quarterly real gnp: q-gnp4791.txt
(4) Monthly returns of EW index: (Date, IBM, VW, EW & SP)
4th column of the file m-ibm3dx2603.txt
(5) Monthly simple returns of 3M stock: m-3m4697.txt
(6) U.S. quarterly GDP: q-gdp4703.txt
(7) Daily values of S&P 500 index: d-sp9003lev.txt
(8) Quarterly earnings of JNJ (1960-1980): q-jnj.txt
(9) Monthly simple returns of Deciles 1, 5, 10: m-decile1510.txt
(10) Weekly 1-yr & 3-yr interest rates: w-gs1n36299.txt
Data sets for Exercises:
3. Monthly U.S. unemployment rate & help-wanted ads: m-unemhelp.txt
4. Monthly simple returns of Deciles 1, 5, 10: m-decile1510.txt
5. Daily returns of IBM (Date, IBM, VW, EW & SP): d-ibmvwewsp6202.txt
6. Demand of electricity in logarithm: power6.txt
7. Daily returns of EW: d-ew8099.txt
8 & 9. Daily returns of S&P 500 index: (see text for information)
d-dell3dx0003.txt
10-12. Monthly yields of Moddy's AAA & BAA seasoned bonds:
m-aaa.txt and m-baa.txt
13. Monthly returns of EW: m-ew6299.txt
14. Log prices of futures and spot of SP500: sp5may.dat
15. Quarterly GDP implicit price deflator: q-gdpdef.txt
Chapter 3: Conditional Heteroscedastic Models
Data sets used in the text:
(1) Monthly simple returns of Intel stock: m-intc7303.txt
(2) 10-minute FX log returns (Mark-Dollar): exch-perc.txt
(3) Monthly excess returns of the S&P 500 index: sp500.dat
(4) Monthly returns of IBM stock: m-ibm2697.txt
(5) Daily returns of IBM stock, VW, EW, and SP5: d-ibmvwewsp6203.txt
(6) Monthly log returns of IBM stock and S&P 500 index: m-ibmspln.dat
Data for Example 3.4: m-ibmsplnsu.dat
(7) Daily returns of S&P 500 index: d-sp8099.txt
Data sets for Exercises:
5. Monthly simple returns of Intel stock: m-intc7303.txt
6. Monthly simple returns of Merck stock: m-mrk4603.txt
7. Monthly simple returns of 3M stock: m-3m4603.txt
8-10. Monthly returns of GM stock & SP500: m-gmsp5003.txt
11-15. Daily returns of GM stock and SP500: d-gmsp9303.txt
Chapter 4: Nonlinear Models and Their Applications
Data sets used in the text:
(1) Monthly U.S. civilian unemployment rate(48-04): m-unrate.txt
(2) Daily returns of IBM stock in the file: d-ibmvwewsp6203.txt
(3) Monthly simple returns of 3M stock: m-3m4697.txt
RATS program for smooth TAR: star.rats
(4) Quarterly growth rates of U.S. gnp: q-gnp4791.txt
(5) Weekly 3-month Treasury Bill rates: w-3mtbs7097.txt
(5) Monthly log returns, in percentages, of IBM stock: m-ibmln2699.txt
(6) Quarterly unemployment rates: q-unemrate.txt
R and S commands for Example 4.7 are in nnet-ibm.sor
Data sets for Exercises:
1. Daily returns of JNJ stock: d-jnj9003.txt
2,3,5: Monthly returns of GE stock: m-ge2603.txt
6. Weekly U.S. interest rates:
(a) Treasury 1-year constant maturity rates: w-gs1yr.txt
(b) Treasury 3-year constant maturity rates: w-gs3yr.txt
Chapter 5: High-Frequency Data Analysis and Market Microstructure
Data sets used in the text:
(1) IBM transactions data (11/1/90-1/31/91): The columns
are date/time, volume, bid quote, ask quote, and
transaction price: ibm.txt(large)
(2) IBM transactions data of December 1999.
(day. time, price): ibm9912-tp.dat(large)
(3) Adjusted time durations between trades (11/01/90-
1/31/91). Positive durations only: ibmdurad.dat
(4) Adjusted durations in (3) for the first 5 trading days:
ibm1to5-dur.dat
(5) Data for Example 5.2 (files are relativelylarge)
(a) The ADS file: ibm91-ads.dat
(b) The explanatory variables as defined: ibm91-adsx.dat
(6) Transactions data of IBM stock on November 21, 1990
(a) original data: day15-ori.dat
(b) data for PCD models: day15.dat
data descriptions in file day15.txt
RATS programs for estimating duration models:
The data file used is ibm1to5-dur.txt.
(a) EACD model: eacd.rats
(b) WACD model: wacd.rats
(c) GACD model: gacd.rats
(d) Threshold-WACD model: tar-wacd.rats.
Data sets for Exercises:
3. Adjusted durations of IBM stock (11/2/90): ibm-d2-dur.txt
4 & 5.Transactions data of 3M (12/99): mmm9912-dtp.txt(large)
6. Adjusted durations of 3M (12/99): mmm9912-adur.txt
7. Trade data of GE stock: taq-t-ge-dec5.txt
Number of trades in 5-minute intervals: taq-ge-dec5-nt.txt
8. 5-minute intraday returns of GE stock: taq-ge-dec5-5m.txt
9. 10-minute intraday returns of GE stock: taq-ge-dec5-10m.txt
10. See problem 5.7.
Chapter 6: Continuous-Time Models and Their Applications
Data sets used in the text:
(1) Daily simple returns of IBM stock in 1998: d-ibmy98.txt
(2) Daily log returns of Cisco stock in 1999: d-cscoy99.txt
Source codeof aFortranprogram for European call and put options
based on the simple jump diffusion model discussed in the text:
kou.f (You need to compile the program.)
Chapter 7: Extreme Values, Quantile Estimation, and Value at Risk
Data sets used in the text:
(1) Daily returns of IBM stock: d-ibm6298.txt (9190 obs)
The returns are in percentages.
(2) RATS programs used in Example 7.3:
(Note: returns used in the example are not in percentages.)
(a) AR(2)-GARCH(1,1): example7-3a.rats
(b) AR(2)-GARCH(1,1)-t5: example7-3b.rats
(3) Daily log returns of Intel stock (Example 7.4): d-intc7297.txt
(4) Data used in Subsection 7.7.8
(a) Mean-corrected daily log returns of IBM: d-ibmln98wm.txt
(b) The explanatory variables on page 294: d-ibml25x.txt
Data sets for Exercises:
1. Daily returns of GE stock: d-ge6299.txt
2 & 3. Daily returns of Cisco stock: d-csco9199.txt
4. Daily returns of HP and 3 indices: d-hwp3dx8099.txt
5, 6, & 7. Daily returns of Alcoa stock and S&P 500 index: d-aaspx8003.txt
Chapter 8: Multivariate Time Series Analysis and Its Applications
Data sets used in the text:
(1) Monthly returns of IBM and S&P 500: m-ibmsp2699.txt
log returns: m-ibmspln.txt
The SCA commands used to analyze the series: sca-ex-ch8.txt
Source code of aFortranprogram for multivariate Q-stat: qstat.f
(2) Monthly simple returns of bond indexes: m-bnd.txt
(3) Monthly U.S. interest rates of Example 8.6: m-gs1n3-5301.txt
SCA commands used: sca-ex8-6.txt
(4) Weekly U.S. interest rates (3-m & 6-m): w-tb3n6ms.txt
(5) Log prices of SP500 index futures and shares: sp5may.dat
Data sets for Exercises:
1. Monthly returns of MRK et al.: m-mrk2vw.txt
2, 3, & 4. Monthly U.S. interest rates (1 & 10 yrs): m-gs1n10.txt
7. Monthly U.S. interest rates (1-yr & 3-yr): m-gs1n3-5304.txt
Chapter 9: Principal Component Analysis and Factor Models
Data sets used in the text:
(1) Monthly stock returns of Table 9.1: m-fac9003.txt
(2) Monthly macroeconomic variables: (CPI & CE16):
m-cpice16-dp7503.txt
(3) Monthly excess returns of Table 9.2: m-barra-9003.txt
(4) Monthly log returns, in percentages, of IBM, HWP, INTC,
MER & MWD stocks: m-5cln.txt
(5) Monthly returns of U.S. bond indices: m-bnd.txt
(6) Monthly returns of 40 stocks in Table 9.6:
(Company ID, date, return): m-apca0103.txt
Data sets for Exercises:
1. Monthly returns of stocks and VW index: m-mrk2vw.txt
2 to 6. Monthly simple excess returns: m-excess-c10sp-9003.txt
Chapter 10: Multivariate Volatility Models and Their Applications
Data sets used in the text:
(1) Daily log returns of HK and Japan market indices (Example 9.1):
Data file (491 data pts): d-hkja.txt
Bivariate GARCH programs: hkja-c.rats and hkja-c1.rats
(2) Monthly returns of Pfizer and Merck stocks:
m-pfe6503.txt and m-mrk6503.txt
(3) Monthly returns of IBM and S&P 500: m-ibmsp2699.txt
Constant-correlation GARCH program: ibmsp-ex92.rats
Time-varying correlation GARCH: ibmsp-ex92q.rats
Cholesky Decomposition: ibmsp-choles.rats
(4) Daily log returns of S&P 500, Cisco and Intel stocks:
Data (3 columns): d-spcscointc.txt
Time-varying 3-dim GARCH model: cholesky-ex93.rats
Data sets for Exercises:
1. Problems 1 to 4: Monthly log returns of S&P 500, IBM
and GE stocks: m-spibmhpq6203.txt
5. Problems 5 to 8: Monthly log returns, in percentages, of
S&P 500 index, IBM and GE stocks: m-spibmge.txt
9. Daily log returns of Dell and Cisco stocks: d-dellcsco9099.txt
Chapter 11: State-Space Models and Kalman Filter
Data sets used in the text:
(1) Daily realized volatility series of Alcoa stock: (5m, 10m, 20m)
aa-3rv.txt
(2) Monthly excess returns of GM stock: see Table 9.1 of Chapter 9.
(3) Quarterly earnings of Johnson and Johnson: see Chapter 2.
Data sets for Exercises:
2. Realized volatility of Alcoa stock (20m interval): aa-rv-20m.txt
3. Monthly simple excess returns of Pfizer stock and S&P 500 index:
m-pfesp-ex9003.txt
Chapter 12: Markov Chain Monte Carlo Methods with Applications
Data sets used in the text:
(1) Change series of weekly US interest rates (3-y & 1-y):
w-gs3n1c.txt
(2) Change series of weekly US 3-yr interest rate: w-gs3c.txt
(3) Monthly log returns of S&P 500 index: m-sp6299.txt
(4) Monthly log returns of IBM stock & SP 500: m-ibmspln6299.txt
(5) Monthly log prices of S&P 500 index: m-sp5-6204.txt
(6) Monthly log returns of GE stock: m-geln.txt
Data sets for Exercises:
4. Monthly log returns of GM stock and S&P500: m-gmsp5099.txt
5. Daily returns of Cisco stock: d-csco9199.txt
6. Monthly returns of GM stock and S&P 500 index: See Problem 4.