Presentation on theme: "Spline Garch as a Measure of Unconditional Volatility and its Global Macroeconomic Causes Robert Engle and Jose Gonzalo Rangel NYU and UCSD."— Presentation transcript:
Spline Garch as a Measure of Unconditional Volatility and its Global Macroeconomic Causes Robert Engle and Jose Gonzalo Rangel NYU and UCSD
GOALS ESTIMATE THE DETERMINANTS OF GLOBAL EQUITY VOLATILITY –How are long run volatility forecasts affected by macroeconomic conditions? –What volatility can be expected for a newly opened financial market? MEASURE AND MODEL CHANGING UNCONDITIONAL VOLATILITY
WHAT MOVES ASSET PRICES AND VOLATILITY? NEWS vs OTHER THINGS RESEARCH STRATEGIES –VOLATILITY MODELS e.g.Officer(1973), Schwert(1989) –ANNOUNCEMENT + NEWS MODELS e.g.Roll(1988), Cutler Poterba and Summers(1990) In all cases, macro effects appear small
A MODEL CAMPBELL(1991), CAMPBELL& SHILLER(1988) LOG LINEARIZATION Decompose into Innovations to the present discounted value of future dividends or expected returns
MULTIPLICATIVE EFFECTS The impact of a news event may depend upon the macro economy. Eg. News about a firm will have a bigger effect in a recession or close to bankruptcy
NEWS EVENTS Return is a function of news times its impact –e = observable news –z = macro or deterministic events if news is not observable, then there is just an innovation, u
NEWS VARIANCE The variance of the news also depends upon macro and other deterministic elements both through the intensity and the magnitude of the news.
REALIZED VARIANCE Realized Variance is the unconditional variance plus an error. Assuming mean zero returns:
HISTORY OF THE US EQUITY MARKET VOLATILITY: S&P500 PLOT PRICES AND RETURNS HOW MUCH DO RETURNS FLUCTUATE?
MEAN REVERSION QUOTES Volatility is Mean Reverting –no controversy The long run level of volatility is constant –very controversial Volatility is systematically lower now than it has been in years –Very controversial. Cannot be answered by simple GARCH
DEFINITIONS r t is a mean zero random variable measuring the return on a financial asset CONDITIONAL VARIANCE UNCONDITIONAL VARIANCE
GARCH(1,1) The unconditional variance is then
GARCH(1,1) If omega is slowly varying, then This is a complicated expression to interpret
SPLINE GARCH Instead, use a multiplicative form Tau is a function of time and exogenous variables
UNCONDITIONAL VOLATILTIY Taking unconditional expectations Thus we can interpret tau as the unconditional variance.
SPLINE ASSUME UNCONDITIONAL VARIANCE IS AN EXPONENTIAL QUADRATIC SPLINE OF TIME For K knots equally spaced
ESTIMATION FOR A GIVEN K, USE GAUSSIAN MLE CHOOSE K TO MINIMIZE BIC FOR K LESS THAN OR EQUAL TO 15
EXAMPLES FOR US SP500 DAILY DATA FROM 1963 THROUGH 2004 ESTIMATE WITH 1 TO 15 KNOTS OPTIMAL NUMBER IS 7
RESULTS LogL: SPGARCH Method: Maximum Likelihood (Marquardt) Date: 08/04/04 Time: 16:32 Sample: Included observations: Evaluation order: By observation Convergence achieved after 19 iterations CoefficientStd. Errorz-StatisticProb. C(4) E W(1)-1.89E E W(2)2.71E E W(3)-4.35E E W(4)3.28E E W(5)-3.98E E W(6)6.00E E W(7)-8.04E E C(5) C(1) C(2) Log likelihood Akaike info criterion Avg. log likelihood Schwarz criterion Number of Coefs.11 Hannan-Quinn criter
PATTERNS OF VOLATILITY ASSET CLASSES –EQUITIES –EQUITY INDICES –CURRENCIES –FUTURES –INTEREST RATES –BONDS
VOLATILITY BY ASSET CLASS
PATTERNS OF EQUITY VOLATILITY COUNTRIES –DEVELOPED MARKETS –EUROPE –TRANSITION ECONOMIES –LATIN AMERICA –ASIA –EMERGING MARKETS Calculate Median Annualized Unconditional Volatility using daily data
MACRO VOLATILITY Macro volatility variables measure the size of the surprises in macroeconomic aggregates over the year. If y is the variable (cpi, gdp,…), then:
ESTIMATION Volatility is regressed against explanatory variables with observations for countries and years. Within a country residuals are auto-correlated due to spline smoothing. Hence use SUR. Volatility responds to global news so there is a time dummy for each year. Unbalanced panel
ONE VARIABLE REGRESSIONS
CPI VOLATILITY T-STAT
DROP ARGENTINA? OUTLIER? HIGHLY INFORMATIVE? ESTIMATE BOTH WAYS.
PANEL ESTIMATE RANDOM COUNTRY EFFECTS AR(1) DYNAMIC COUNTRY EFFECTS TIME FIXED EFFECTS
ANNUAL REALIZED VOLATILITY
CONCLUSIONS AND IMPLICATIONS Unconditional volatility changes in systematic ways. Macro volatility and growth are important determinants of financial volatility. Unconditional volatility and realized volatility give similar results but the former fits better. Big swings in financial volatility are common across the globe.