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20112021
most citedSpectral Risk Measures and the Choice of Risk Aversion Function

4 citations · 8 across the 18 of their papers we have counts for

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Showing 2011 · q-fin.RMShow all

20 papers · 2 filters

q-fin.RM2011★ 2 cited

Financial Risks and the Pension Protection Fund: Can it Survive Them?

David Blake, John Cotter, Kevin Dowd

This paper discusses the financial risks faced by the UK Pension Protection Fund (PPF) and what, if anything, it can do about them. It draws lessons from the regulatory regimes und…

q-fin.RM2011

A Utility Based Approach to Energy Hedging

John Cotter, Jim Hanly

A key issue in the estimation of energy hedges is the hedgers' attitude towards risk which is encapsulated in the form of the hedgers' utility function. However, the literature typ…

q-fin.RM2011

Time Varying Risk Aversion: An Application to Energy Hedging

John Cotter, Jim Hanly

Risk aversion is a key element of utility maximizing hedge strategies; however, it has typically been assigned an arbitrary value in the literature. This paper instead applies a GA…

q-fin.RM2011

Hedging: Scaling and the Investor Horizon

John Cotter, Jim Hanly

This paper examines the volatility and covariance dynamics of cash and futures contracts that underlie the Optimal Hedge Ratio (OHR) across different hedging time horizons. We exam…

q-fin.RM2011

Scaling conditional tail probability and quantile estimators

John Cotter

We present a novel procedure for scaling relatively high frequency tail probability and quantile estimates for the conditional distribution of returns.

q-fin.RM2011

Extreme Measures of Agricultural Financial Risk

John Cotter, Kevin Dowd, Wyn Morgan

Risk is an inherent feature of agricultural production and marketing and accurate measurement of it helps inform more efficient use of resources. This paper examines three tail qua…

q-fin.RM2011

Spectral Risk Measures: Properties and Limitations

Kevin Dowd, John Cotter, Ghulam Sorwar

Spectral risk measures (SRMs) are risk measures that take account of user riskaversion, but to date there has been little guidance on the choice of utility function underlying them…

q-fin.RM2011★ 4 cited

Spectral Risk Measures and the Choice of Risk Aversion Function

kevin dowd, john cotter

Spectral risk measures are attractive risk measures as they allow the user to obtain risk measures that reflect their risk-aversion functions. To date there has been very little gu…

q-fin.RM2011★ 1 cited

Estimating financial risk measures for futures positions: a non-parametric approach

john cotter, kevin dowd

This paper presents non-parametric estimates of spectral risk measures applied to long and short positions in 5 prominent equity futures contracts. It also compares these to estima…

q-fin.RM2011

Evaluating the Precision of Estimators of Quantile-Based Risk Measures

Kevin Dowd, John Cotter

This paper examines the precision of estimators of Quantile-Based Risk Measures (Value at Risk, Expected Shortfall, Spectral Risk Measures). It first addresses the question of how…

q-fin.RM2011

Modelling catastrophic risk in international equity markets: An extreme value approach

john cotter

This letter uses the Block Maxima Extreme Value approach to quantify catastrophic risk in international equity markets. Risk measures are generated from a set threshold of the dist…

q-fin.RM2011

Implied correlation from VaR

John Cotter, François Longin

Value at risk (VaR) is a risk measure that has been widely implemented by financial institutions. This paper measures the correlation among asset price changes implied from VaR cal…

q-fin.RM2011

Extreme Spectral Risk Measures: An Application to Futures Clearinghouse Margin Requirements

John Cotter, Kevin Dowd

This paper applies the Extreme-Value (EV) Generalised Pareto distribution to the extreme tails of the return distributions for the S&P500, FT100, DAX, Hang Seng, and Nikkei225 futu…

q-fin.RM2011

Varying the VaR for Unconditional and Conditional Environments

John Cotter

Accurate forecasting of risk is the key to successful risk management techniques. Using the largest stock index futures from twelve European bourses, this paper presents VaR measur…

q-fin.RM2011

Tail Behaviour of the Euro

John Cotter

This paper empirically analyses risk in the Euro relative to other currencies. Comparisons are made between a sub period encompassing the final transitional stage to full monetary…

q-fin.RM2011

Minimum Capital Requirement Calculations for UK Futures

John Cotter

Key to the imposition of appropriate minimum capital requirements on a daily basis requires accurate volatility estimation. Here, measures are presented based on discrete estimatio…

q-fin.RM2011★ 1 cited

Margin setting with high-frequency data1

John Cotter, François Longin

Both in practice and in the academic literature, models for setting margin requirements in futures markets classically use daily closing price changes. However, as well documented…

q-fin.RM2011

Exponential Spectral Risk Measures

Kevin Dowd, John Cotter

Spectral risk measures are attractive risk measures as they allow the user to obtain risk measures that reflect their subjective risk-aversion. This paper examines spectral risk me…

q-fin.RM2011

Spectral Risk Measures with an Application to Futures Clearinghouse Variation Margin Requirements

John Cotter, Kevin Dowd

This paper applies an AR(1)-GARCH (1, 1) process to detail the conditional distributions of the return distributions for the S&P500, FT100, DAX, Hang Seng, and Nikkei225 futures co…

q-fin.RM2011

An Empirical Analysis of Dynamic Multiscale Hedging using Wavelet Decomposition

Thomas Conlon, John Cotter

This paper investigates the hedging effectiveness of a dynamic moving window OLS hedging model, formed using wavelet decomposed time-series. The wavelet transform is applied to cal…