Electricity Forward Prices: A High-Frequency Empirical Analysis
By Francis A. Longstaff, Ashley Wang. 2002
419 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Finance, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/12c28f012c6a946715ce07c265ab3411ee739fee
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In Electrical and Electronic Engineering
- Rafal Weron
- Pierre Pinson
- James Bushnell
- S. Borenstein
- Henrik Madsen
- Mar Reguant
- Benjamin F. Hobbs
- Koichiro Ito
In Finance
- Mark Podolskij
- Kim Christensen
- Andrew J. Patton
- Steen Koekebakker
- Rafal Weron
- Gernot J. Müller
- Roel C. A. Oomen
- Claudia Klüppelberg
In Safety, Risk, Reliability and Quality
- Rafal Weron
- S. Borenstein
- James Bushnell
- Pierre Pinson
- Mar Reguant
- A. Saló
- Gernot J. Müller
- Benjamin F. Hobbs
Citations in the corpus
- A Dynamic Analysis of a Demand Curve-Based Capacity Market Proposal: The PJM Reliability Pricing Model (2007, background): “For instance, Bessembinder and Lemmon [1] describe how equilibrium forward price premiums can be affected by various factors, and Longstaff and Wang [9] empirically estimate these premiums for the PJM market.”
- Futures pricing in electricity markets based on stable CARMA spot models (2012, methodology): “Hence, the analysis in Longstaff and Wang [28] is valid for the very short end of the futures curve.”
- On the market impact of wind energy forecasts (2010, background): “Recently, higher frequency analysis have appeared though (e.g. Huisman et al., 2006; Longstaff and Wang, 2004; Karakatsani and Bunn, 2008).”
- Hourly Electricity Prices in Day-Ahead Markets (2007, background): “Longstaff and Wang (2004) study the day-ahead hourly risk premium, calculated as the difference between the day-ahead price and the expected real time price.”
- Realised quantile-based estimation of the integrated variance (2010, background): “Consider, for example, electricity markets, where storage is costly, power plants can fail, and sudden unpredictable swings in demand for energy – often for exogenous reasons – can lead to substantial temporary price spikes (see, e.g., Bessembinder and Lemmon, 2002; Longstaff and Wang, 2004).”
- Merit-order effects of renewable energy and price divergence in California’s day-ahead and real-time electricity markets (2016, background): “…occasional spikes has led to extensive research on electricity price behavior and dynamics (e.g., Johnsen, 2001; Bessembinder and Lemmon, 2002, 2006; Longstaff and Wang, 2004; Knittel and Roberts, 2005; Park et al., 2006; Haldrup and Nielsen, 2006; Mount et al., 2006; Weron, 2006; Guthrie and…”
- A spot market model for pricing derivatives in electricity markets (2004, neutral): “Similar results were obtained in [25].”
- Electricity price forecasting: A review of the state-of-the-art with a look into the future (2014, background): “For instance, Maciejowska (2014) reports for the UKmarket that fundamental drivers (wind generation, demand, gas price) played a minor role, while speculative or spot price shocks were responsible for up to 95% of the price volatility in 2011 and 2012.”
- Stochastic modeling of financial electricity contracts (2008, background): “Note that, as opposed to for instance Longstaff and Wang 4See http://www.nordpool.no/nordpool/financial/index.html for details on the different financial contracts traded on Nord Pool.”
- Maximum Likelihood Estimation of VARMA Models Using a State‐Space EM Algorithm (2007, background): “(See Longstaff and Wang (2004), Saravia (2003), and Borenstein et al. (2004) for similar tests in the Pennsylvania/ New Jersey/Maryland, New York, and California markets, respectively.)”
- Inefficiencies and Market Power in Financial Arbitrage: A Study of California’s Electricity Markets (2006, background): “For instance, in the first four months of trading, ISO prices were lower in both the North and South during both the early hours (1-6) and late hours (8-24), although the negative coefficients were only statistically significant in three out of the eight late-hour specifications.”
- Spot Price Modeling and the Valuation of Electricity Forward Contracts: The Role of Demand and Capacity (2007, neutral): “Furthermore, although Longstaff and Wang (2004) try to establish a relationship between the forward premium and the difference between maximum capacity and expected demand, they must assume (due to lack of data) that generating capacity is constant.”
- Electricity derivatives and risk management (2006, methodology): “[31,34,40,42,43] for forward prices and [44] for spark spreads.”
- Sequential Markets, Market Power, and Arbitrage (2016, background): “(1)Examples of empirical evidence include treasury auctions (Coutinho, 2013), wine auctions (Ashenfelter, 1989; McAfee and Vincent, 1993), mutual funds (Zitzewitz, 2003), and wholesale electricity markets (Saravia, 2003; Longstaff and Wang, 2004; Borenstein et al., 2008; Hadsell, 2008; Bowden et al.”