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Results for “wholesale” · papers 18 · wiki 21
Academic Papers · 18arXiv q-fin live 17 · desk corpus 1
arXiv · arXiv q-fin · 2026

Battery Bidding under Price Uncertainty in Wholesale Electricity Markets

Grid-scale batteries increasingly influence outcomes in wholesale electricity markets, but their observed bid patterns remain difficult to interpret. In particular, bids that appear to reflect strategic withholding may instead arise from rational operations under price uncertainty and risk management. We develop an asset-level model of a price-taking battery that submits stepwise buy and sell bid curves in the day-ah

Vincent Yinjun-Wang, Madeleine Udell
arXiv · arXiv q-fin · 2019

Retailer response to wholesale stockouts

The purpose of this paper is to identify the immediate and future retailer response to wholesale stockouts. We perform a statistical analysis of historical customer order and delivery data of a local tool wholesaler and distributor, whose customers are retailers, over a period of four years. We investigate the effect of customer service on the order fill rate and the rate of future demand, where the customer service

George Liberopoulos, Isidoros Tsikis
arXiv · arXiv q-fin · 2017

Correlations and Clustering in Wholesale Electricity Markets

We study the structure of locational marginal prices in day-ahead and real-time wholesale electricity markets. In particular, we consider the case of two North American markets and show that the price correlations contain information on the locational structure of the grid. We study various clustering methods and introduce a type of correlation function based on event synchronization for spiky time series, and anothe

Tianyu Cui, Francesco Caravelli, Cozmin Ududec
arXiv · arXiv q-fin · 2015

Multi-scaling of wholesale electricity prices

We empirically analyze the most volatile component of the electricity price time series from two North-American wholesale electricity markets. We show that these time series exhibit fluctuations which are not described by a Brownian Motion, as they show multi-scaling, high Hurst exponents and sharp price movements. We use the generalized Hurst exponent (GHE, $H(q)$) to show that although these time-series have strong

Francesco Caravelli, James Requeima, Cozmin Ududec, Ali Ashtari, Tiziana Di Matteo
arXiv · arXiv q-fin · 2014

Modeling the stylized facts of wholesale system marginal price (SMP) and the impacts of regulatory reforms on the Greek Electricity Market

This work presents the results of an empirical research with the target of modeling the stylized facts of the daily expost System Marginal Price (SMP) of the Greek wholesale electricity market, using data from January 2004 to December of 2011. SMP is considered here as the footprint of an underline stochastic and nonlinear process that bears all the information reflecting not only the effects of changes in endogenous

G. Papaioannou, P. Papaioannou, N. Parliaris
arXiv · arXiv q-fin · 2024

Deep Learning-Based Electricity Price Forecast for Virtual Bidding in Wholesale Electricity Market

Virtual bidding plays an important role in two-settlement electric power markets, as it can reduce discrepancies between day-ahead and real-time markets. Renewable energy penetration increases volatility in electricity prices, making accurate forecasting critical for virtual bidders, reducing uncertainty and maximizing profits. This study presents a Transformer-based deep learning model to forecast the price spread b

Xuesong Wang, Sharaf K. Magableh, Oraib Dawaghreh, Caisheng Wang, Jiaxuan Gong
arXiv · arXiv q-fin · 2024

Detecting Structural breakpoints in natural gas and electricity wholesale prices via Bayesian ensemble approach, in the era of energy prices turmoil of 2022 period: the cases of ten European markets

We investigate the impact of several critical events associated with the Russo Ukrainian war, started officially on 24 February 2022 with the Russian invasion of Ukraine, on ten European electricity markets, two natural gas markets (the European reference trading hub TTF and N.Y. NGNMX market) and how these markets interact to each other and with USDRUB exchange rate, a financial market. We analyze the reactions of t

Panayotis G. Papaioannou, George P. Papaioannou, George Evangelidis, George Gavalakis
arXiv · arXiv q-fin · 2025

Rolling intrinsic for battery valuation in day-ahead and intraday markets

Battery Energy Storage Systems (BESS) are a cornerstone of the energy transition, as their ability to shift electricity across time enables both grid stability and the integration of renewable generation. This paper investigates the profitability of different market bidding strategies for BESS in the Central European wholesale power market, focusing on the day-ahead auction and intraday trading at EPEX Spot. We emplo

Daniel Oeltz, Tobias Pfingsten
arXiv · arXiv q-fin · 2022

Order routing and market quality: Who benefits from internalisation?

We analyse two models of liquidity provision to determine the retail traders' preference for marketable order routing. Order internalization is captured by a model of market makers competing for the retail order flow in a Bertrand fashion. On the other hand, the price-taking competitive liquidity providers characterize the open exchange model. We show that, when liquidity providers are risk averse, routing of the mar

Umut Çetin, Alaina Danilova
arXiv · arXiv q-fin · 2026

Trading Electrons: Predicting DART Spread Spikes in ISO Electricity Markets

We study the problem of forecasting and optimally trading day-ahead versus real-time (DART) price spreads in U.S. wholesale electricity markets. Building on the framework of Galarneau-Vincent et al., we extend spike prediction from a single zone to a multi-zone setting and treat both positive and negative DART spikes within a unified statistical model. To translate directional signals into economically meaningful pos

Emma Hubert, Dimitrios Lolas, Ronnie Sircar
arXiv · arXiv q-fin · 2025

CapOptix: An Options-Framework for Capacity Market Pricing

Electricity markets are under increasing pressure to maintain reliability amidst rising renewable penetration, demand variability, and occasional price shocks. Traditional capacity market designs often fall short in addressing this by relying on expected-value metrics of energy unserved, which overlook risk exposure in such systems. In this work, we present CapOptix, a capacity pricing framework that interprets capac

Millend Roy, Agostino Capponi, Vladimir Pyltsov, Yinbo Hu, Vijay Modi
arXiv · arXiv q-fin · 2022

Electricity Price Forecasting: The Dawn of Machine Learning

Electricity price forecasting (EPF) is a branch of forecasting on the interface of electrical engineering, statistics, computer science, and finance, which focuses on predicting prices in wholesale electricity markets for a whole spectrum of horizons. These range from a few minutes (real-time/intraday auctions and continuous trading), through days (day-ahead auctions), to weeks, months or even years (exchange and ove

Arkadiusz Jędrzejewski, Jesus Lago, Grzegorz Marcjasz, Rafał Weron
arXiv · arXiv q-fin · 2019

Bidding in Smart Grid PDAs: Theory, Analysis and Strategy (Extended Version)

Periodic Double Auctions (PDAs) are commonly used in the real world for trading, e.g. in stock markets to determine stock opening prices, and energy markets to trade energy in order to balance net demand in smart grids, involving trillions of dollars in the process. A bidder, participating in such PDAs, has to plan for bids in the current auction as well as for the future auctions, which highlights the necessity of g

Susobhan Ghosh, Sujit Gujar, Praveen Paruchuri, Easwar Subramanian, Sanjay P. Bhat
arXiv · arXiv q-fin · 2017

Using nonlinear stochastic and deterministic (chaotic tools) to test the EMH of two Electricity Markets the case of Italy and Greece

Utilization of non-linear tools to characterize the state of development of the electricity markets in Italy and Greece. This is equivalent to testing the Efficient Market Hypothesis on these markets. The tools include a variety of complexity measures like Maximal Lyapunov and Hurst exponents and HHI index for market concentration and Entropy, a measure of uncertainty and complexity in a dynamical system, applied on

George P Papaioannou, Christos Dikaiakos, Anargyros Dramountanis, Dionysios S Georgiadis, Panagiotis G Papaioannou
arXiv · arXiv q-fin · 2017

Implementing Flexible Demand: Real-time Price vs. Market Integration

This paper proposes an agent-based model that combines both spot and balancing electricity markets. From this model, we develop a multi-agent simulation to study the integration of the consumers' flexibility into the system. Our study identifies the conditions that real-time prices may lead to higher electricity costs, which in turn contradicts the usual claim that such a pricing scheme reduces cost. We show that suc

Florian Kühnlenz, Pedro H. J. Nardelli, Santtu Karhinen, Rauli Svento
arXiv · arXiv q-fin · 2015

European Union gas market development

The recently announced Energy Union by the European Commission is the most recent step in a series of developments aiming at integrating the EU's gas markets to increase social welfare (SW) and security of gas supply. Based on a spatial partial equilibrium model, we analyze the changes in consumption, prices, and SW up to 2022 induced by the infrastructure expansions planned for this period. We find that wholesale pr

Tobias Baltensperger, Rudolf M. Füchslin, Pius Krütli, John Lygeros
arXiv · arXiv q-fin · 2011

Volatility of Power Grids under Real-Time Pricing

The paper proposes a framework for modeling and analysis of the dynamics of supply, demand, and clearing prices in power system with real-time retail pricing and information asymmetry. Real-time retail pricing is characterized by passing on the real-time wholesale electricity prices to the end consumers, and is shown to create a closed-loop feedback system between the physical layer and the market layer of the power

Mardavij Roozbehani, Munther A Dahleh, Sanjoy K Mitter
arXiv · arXiv · 2025

A Case for AXI

In the LIBOR era, banks routinely tied revolving credit facilities to credit-sensitive benchmarks. This study assesses the Across-the-Curve Credit Spread Index (AXI) -- a transparent, transaction-based measure of wholesale bank funding costs -- as a complement to SOFR, summarizing its behavior, construction, and loan-pricing implications. AXI aggregates observable unsecured funding transactions across short- and long

Viktor Tsyrennikov
Wiki Entities · 21
Option Blackboard · 0
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Encyclopedia · 20
Banking · Foundations

Bank Wholesale Funding

Bank Wholesale Funding (Banking).

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Wholesale Funding ASEAN

Wholesale Funding ASEAN (Banking).

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Wholesale Funding Australia

Wholesale Funding Australia (Banking).

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Wholesale Funding broker-dealer

Wholesale Funding broker-dealer (Banking).

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Wholesale Funding Canada

Wholesale Funding Canada (Banking).

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Wholesale Funding CEEMEA

Wholesale Funding CEEMEA (Banking).

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Wholesale Funding China

Wholesale Funding China (Banking).

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Wholesale Funding Dependence

Wholesale Funding Dependence — Reliance on market funding versus sticky deposits.

Banking · Foundations

Wholesale Funding EM Asia

Wholesale Funding EM Asia (Banking).

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Wholesale Funding Euro Area

Wholesale Funding Euro Area (Banking).

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Wholesale Funding GSIB

Wholesale Funding GSIB (Banking).

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Wholesale Funding India

Wholesale Funding India (Banking).

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Wholesale Funding Japan

Wholesale Funding Japan (Banking).

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Wholesale Funding Korea

Wholesale Funding Korea (Banking).

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Wholesale Funding LatAm

Wholesale Funding LatAm (Banking).

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Wholesale Funding Nordics

Wholesale Funding Nordics (Banking).

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Wholesale Funding regional

Wholesale Funding regional (Banking).

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Wholesale Funding trust bank

Wholesale Funding trust bank (Banking).

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Wholesale Funding UK

Wholesale Funding UK (Banking).

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Wholesale Funding US

Wholesale Funding US (Banking).

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