Autoregressive Conditional Heteroskedasticity - ARCH
- Autoregressive Conditional Heteroskedasticity - ARCH
- An econometric term used for observed time series. ARCH models are used to model financial time series with time-varying volatility, such as stock prices. The ARCH concept was developed by economist Robert F. Engle, for which he won the 2003 Nobel Memorial Prize in Economic Sciences.
ARCH models assume that the variance of the current error term is related to the size of the previous periods' error terms, giving rise to volatility clustering. This phenomenon is widely observable in financial markets, where periods of low volatility are followed by periods of high volatility and vice versa. For example, volatility for the S&P 500 was unusually low for an extended period during the bull market from 2003 to 2007, before spiking to record levels during the market correction of 2008. ARCH models have become mainstays of arbitrage pricing and portfolio theory.
Investment dictionary.
Academic.
2012.
Look at other dictionaries:
Autoregressive conditional heteroskedasticity — ARCH redirects here. For the children s rights organization, see Action on Rights for Children. In econometrics, AutoRegressive Conditional Heteroskedasticity (ARCH) models are used to characterize and model observed time series. They are used… … Wikipedia
autoregressive conditional heteroskedasticity — ( ARCH) A nonlinear stochastic process, where the variance is time varying, and a function of the past variance. ARCH processes have frequency distributions which have high peaks at the mean and fat tails, much like fractal distributions. The… … Financial and business terms
Autoregressive moving average model — In statistics, autoregressive moving average (ARMA) models, sometimes called Box Jenkins models after the iterative Box Jenkins methodology usually used to estimate them, are typically applied to time series data.Given a time series of data X t … Wikipedia
Autoregressive bedingte Heteroskedastizität — Das von Robert F. Engle in den 80er Jahren entwickelte ARCH Modell (autoregressive conditional heteroskedasticity) beschrieb ursprünglich die Entwicklung der Volatilität. Es geht von der Annahme aus, dass die Varianz der zufälligen Modellfehler… … Deutsch Wikipedia
ARCH-Modell — Das von Robert F. Engle in den 80er Jahren entwickelte ARCH Modell (autoregressive conditional heteroskedasticity) beschrieb ursprünglich die Entwicklung der Volatilität. Es geht von der Annahme aus, dass die bedingte Varianz der zufälligen… … Deutsch Wikipedia
Arch (disambiguation) — An arch is a curved structure capable of spanning a space while supporting significant weight.Arch may also refer to:*Arch (St. Louis), or Gateway Arch, an iconic monument in St. Louis, Missouri, U.S. *Arch (fingerprint), a basic pattern *Arch,… … Wikipedia
ARCH — See: autoregressive conditional heteroskedasticity … Financial and business terms
Heteroscedasticity — In statistics, a sequence or a vector of random variables is heteroskedastic, or heteroscedastic, if the random variables have different variances. The complementary concept is called homoskedasticity. The term means differing variance and comes… … Wikipedia
Time series — Time series: random data plus trend, with best fit line and different smoothings In statistics, signal processing, econometrics and mathematical finance, a time series is a sequence of data points, measured typically at successive times spaced at … Wikipedia
Волатильность — (Volatility) Волатильность это финансовый показатель, описывающий изменчивость цен Индикатор волатильности, волатильность пар, торговля волатильностью, покупка волатильности, волатильность валюты Содержание >>>>>>>>>>> … Энциклопедия инвестора
