2007
DOI: 10.1201/9781584889267.ch13
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Value at Risk and Self-Similarity

Abstract: The concept of Value at Risk measures the "risk" of a portfolio and is a statement of the following form: With probability q the potential loss will not exceed the Value at Risk figure. It is in widespread use within the banking industry.It is common to derive the Value at Risk figure of d days from the one of one-day by multiplying with √ d. Obviously, this formula is right, if the changes in the value of the portfolio are normally distributed with stationary and independent increments. However, this formula … Show more

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Cited by 14 publications
(32 citation statements)
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“…This means, as said by Sun et al (2007), that a positive (negative) return is more likely followed by negative (positive) ones, and the autocovariance or autocorrelation resulting from [F5] is negative (Jennane et al, 2001); hence, as stated by Mandelbrot and Wallis (1969), this behavior causes the values of the variable to tend to compensate with each other, avoiding time-series' overshooting. Applied to financial markets series, Menkens (2007) affirms that this kind of continuously compensating behavior would suggest a constant overreaction of the market, one that would drive it to a permanent adjustment process. Similarly, Peters (1996) links this behavior to the well-known "mean-reversion" process.…”
Section: Fractional Brownian Motion (Fbm)mentioning
confidence: 99%
See 2 more Smart Citations
“…This means, as said by Sun et al (2007), that a positive (negative) return is more likely followed by negative (positive) ones, and the autocovariance or autocorrelation resulting from [F5] is negative (Jennane et al, 2001); hence, as stated by Mandelbrot and Wallis (1969), this behavior causes the values of the variable to tend to compensate with each other, avoiding time-series' overshooting. Applied to financial markets series, Menkens (2007) affirms that this kind of continuously compensating behavior would suggest a constant overreaction of the market, one that would drive it to a permanent adjustment process. Similarly, Peters (1996) links this behavior to the well-known "mean-reversion" process.…”
Section: Fractional Brownian Motion (Fbm)mentioning
confidence: 99%
“…Due to the evidence of long-term dependence in financial returns, which has been confirmed by Nawrocki (1995), Peters (1996), Willinger et al (1999), Weron and Przybylowicz (2000), Sun et al (2007), Menkens (2007), Cajueiro and Tabak (2008), León and Vivas (2010) and León and Reveiz (2010), the SRTR is inappropriate to describe the way financial returns scale with time. Hence, according to Jennane et al (2001) and McLeod and Hipel (1978)…”
Section: Fractional Brownian Motion (Fbm)mentioning
confidence: 99%
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“…Según Merkens (2007), el hecho de que los rendimientos de activos en un mercado respondan a procesos persistentes, refleja la utilización de información privilegiada. Según Peters (1989), lo anterior significa que la incorporación de nuevos antecedentes sobre los retornos es impredecible, y esto permite deducir que el precio actual es relevante en cuanto a su capacidad de predecir comportamientos futuros del mismo precio.…”
Section: Long Term Serial Dependenceunclassified
“…The Hurst exponent is typically used to measure long memory in financial time series. Various techniques to analyze long memory have been proposed [11,12]. However, rescaled range (R/S) and detrended fluctuation analysis (DFA) are the most commonly used methods.…”
Section: Introductionmentioning
confidence: 99%