Applications of state space models in finance
Applications of state space models in finance
Applications of state space models in finance
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
90 6 Time-vary<strong>in</strong>g market beta risk <strong>of</strong> pan-European sectors<br />
Table 6.3: Comparison <strong>of</strong> different GARCH(1,1) specifications.<br />
To decide whether (i) the <strong>in</strong>novations zt <strong>in</strong> (6.7) should be modeled by a normal or a standardized Student-t distribution, (ii) asymmetric<br />
effects should be explicitly taken <strong>in</strong>to account, and (iii) a nonzero constant should be <strong>in</strong>cluded <strong>in</strong> the mean equation <strong>in</strong> (6.6), eight different<br />
GARCH(1,1) specifications have been analyzed. This table reports the estimated values <strong>of</strong> the correspond<strong>in</strong>g log-likelihood functions and the<br />
Bayesian <strong>in</strong>formation criteria.<br />
Sector symmetric GARCH asymmetric GARCH<br />
[zt ∼ N, µ �= 0] [zt ∼ N, µ = 0] [zt ∼ t, µ �= 0] [zt ∼ t, µ = 0] [zt ∼ N, µ �= 0] [zt ∼ N, µ = 0] [zt ∼ t, µ �= 0] [zt ∼ t, µ = 0]<br />
log L BIC log L BIC log L BIC log L BIC log L BIC log L BIC log L BIC log L BIC<br />
Broad 2215.9 −4.91 2209.6 −4.90 2228.5 −4.93 2220.1 −4.92 2226.2 −4.93 2223.5 −4.93 2234.6 −4.94 2229.5 −4.93<br />
Automobiles 1871.9 −4.14 1870.7 −4.15 1892.5 −4.18 1890.6 −4.19 1879.9 −4.15 1879.7 −4.16 1895.0 −4.18 1893.9 −4.18<br />
Banks 2112.8 −4.68 2108.0 −4.68 2132.4 −4.72 2124.1 −4.71 2119.3 −4.69 2116.7 −4.69 2136.0 −4.72 2129.9 −4.71<br />
Basics 1988.2 −4.40 1985.5 −4.40 2013.8 −4.45 2009.6 −4.45 1995.7 −4.41 1993.8 −4.42 2017.7 −4.45 2014.6 −4.45<br />
Chemicals 2110.1 −4.67 2106.3 −4.67 2117.5 −4.68 2112.2 −4.68 2120.7 −4.69 2119.3 −4.69 2125.5 −4.69 2122.8 −4.70<br />
Construction 2112.9 −4.68 2109.8 −4.68 2129.7 −4.71 2124.3 −4.71 2126.0 −4.70 2124.6 −4.71 2137.6 −4.72 2134.5 −4.72<br />
F<strong>in</strong>ancials 2144.4 −4.75 2137.4 −4.74 2175.7 −4.81 2168.1 −4.80 2156.2 −4.77 2152.0 −4.77 2181.6 −4.82 2175.3 −4.81<br />
Food 2240.5 −4.97 2238.1 −4.97 2257.3 −5.00 2252.1 −4.99 2247.5 −4.97 2246.3 −4.98 2261.8 −5.00 2258.0 −5.00<br />
Healthcare 2083.3 −4.61 2076.7 −4.61 2090.4 −4.62 2083.8 −4.62 2088.4 −4.62 2084.6 −4.62 2093.1 −4.62 2088.4 −4.62<br />
Industrials 2144.2 −4.75 2137.8 −4.74 2158.9 −4.78 2150.9 −4.77 2154.8 −4.77 2151.3 −4.77 2164.3 −4.78 2158.9 −4.78<br />
Insurance 1973.8 −4.37 1971.3 −4.37 2006.3 −4.44 2003.1 −4.44 1981.3 −4.38 1980.4 −4.39 2008.6 −4.43 2006.2 −4.44<br />
Media 1927.4 −4.27 1925.1 −4.27 1941.8 −4.29 1937.5 −4.29 1930.7 −4.27 1929.8 −4.27 1943.5 −4.29 1940.7 −4.29<br />
Oil & Gas 2048.7 −4.54 2044.0 −4.53 2056.8 −4.55 2052.6 −4.55 2061.0 −4.56 2059.4 −4.56 2066.7 −4.56 2064.9 −4.57<br />
Personal 1570.8 −4.56 1567.7 −4.56 1577.9 −4.57 1574.2 −4.57 1582.9 −4.59 1582.3 −4.60 1587.4 −4.59 1586.2 −4.60<br />
Retail 1466.1 −4.25 1464.6 −4.26 1521.2 −4.41 1517.6 −4.41 1478.8 −4.28 1478.5 −4.29 1526.2 −4.41 1524.1 −4.42<br />
Technology 1780.0 −3.94 1776.9 −3.94 1793.5 −3.96 1788.3 −3.96 1781.8 −3.93 1779.5 −3.94 1794.3 −3.96 1790.2 −3.95<br />
Telecom 1863.2 −4.12 1858.5 −4.12 1866.1 −4.12 1861.0 −4.12 1864.9 −4.12 1861.3 −4.12 1867.4 −4.12 1863.3 −4.12<br />
Travel 1640.8 −4.77 1637.4 −4.77 1652.3 −4.79 1649.7 −4.79 1653.5 −4.79 1652.9 −4.80 FTC a FTC FTC FTC<br />
Utilities 2270.9 −5.03 2265.7 −5.03 2284.4 −5.06 2276.1 −5.04 2273.4 −5.03 2269.7 −5.03 2285.6 −5.05 2278.6 −5.04<br />
Mean BIC −4.55 −4.55 −4.58 −4.58 −4.56 −4.56 −4.57 −4.57<br />
a Failed to converge.