scholarly journals Cross Hedging Jet Fuel on the Singapore Spot Market

Author(s):  
Ephraim Clark ◽  
Mark C Tan ◽  
Radu Tunru

In this paper we test for the most effective cross hedging instrument for the Singapore spot market in jet fuel over the period February 4, 1997 to August 21, 2001. Our results are mixed. We find that the heating oil contract is the best in-sample cross-hedging instrument. It has the highest correlation with the spot price and gives the best regression results. However, after correcting for serial correlation, the goodness of fit measured by R2 is rather low. Out of sample results are weak for all models and ambiguous with respect to the heating oil contract.  

2017 ◽  
Vol 22 (3) ◽  
pp. 562-580 ◽  
Author(s):  
Christiane Baumeister ◽  
Lutz Kilian ◽  
Xiaoqing Zhou

Many oil industry analysts believe that there is predictive power in the product spread, defined as the difference between suitably weighted refined product market prices and the price of crude oil. We derive a number of alternative forecasting model specifications based on product spreads and compare the implied forecasts to the no-change forecast of the real price of oil. We show that not all product spread models are useful for out-of-sample forecasting, but some models are, even at horizons between one and two years. The most accurate model is a time-varying parameter model of gasoline and heating oil spot price spreads that allows for structural change in product markets. We document mean-squared prediction error reductions as high as 20% and directional accuracy as high as 63% at the two-year horizon, making product spread models a good complement to forecasting models based on economic fundamentals, which work best at short horizons.


Author(s):  
Siew Hoon Lim ◽  
Peter A. Turner

Large and unpredictable swings in fuel prices create financial uncertainty to airlines. While there are the risks for going unhedged, airlines that hedge to mitigate fuel price risk face the basis risk. This paper examines whether the length of hedge horizon and distance to contract maturity affect the effectiveness of jet fuel cross hedging. Understanding the effects of hedge duration and futures contract maturity helps improve airline’s fuel hedging strategies. We find that (1) regardless of the distance to contract maturity, weekly hedge horizon has the highest effectiveness for jet fuel proxies like heating oil, Brent, WTI, and gasoil; (2) heating oil is the best jet fuel proxy for all hedge hori-zons and contract maturities; and (3) the hedge effectiveness of heating oil is higher for one-month and three-month contracts.


2021 ◽  
Vol 13 (14) ◽  
pp. 7987
Author(s):  
Mehmet Balcilar ◽  
Elie Bouri ◽  
Rangan Gupta ◽  
Christian Pierdzioch

We use the heterogenous autoregressive (HAR) model to compute out-of-sample forecasts of the monthly realized variance (RV) of movements of the spot and futures price of heating oil. We extend the HAR–RV model to include the role of El Niño and La Niña episodes, as captured by the Equatorial Southern Oscillation Index (EQSOI). Using data from June 1986 to April 2021, we show evidence for several model configurations that both El Niño and La Niña phases contain information useful for forecasting subsequent to the realized variance of price movements beyond the predictive value already captured by the HAR–RV model. The predictive value of La Niña phases, however, seems to be somewhat stronger than the predictive value of El Niño phases. Our results have important implications for investors, as well as from the perspective of sustainable decisions involving the environment.


2017 ◽  
Vol 12 (10) ◽  
pp. 212
Author(s):  
Wang Heng ◽  
Xu Qi

The paper explored the conditions for retailers to implement option contract and the strategies to make joint purchase in spot market. Under the condition of uncertain market demands, a joint purchase model integrating batch ordering, option contract and spot market has been developed. Considering price fluctuation, the conditions for implementing option contract-based ordering have been studied; the impacts of price fluctuation and option execution price on retailers optimal ordering of joint purchase have been analyzed as well. The result shows that if a retailer adopts a joint purchase strategy, certain constraints need to be met. Otherwise, it is more conductive for the retailer to maximize revenues by adopting a single purchase order. When the spot market is involved, the total order quantity and the order quantity of option contract are negatively correlated with the option execution price and are positively correlated with the spot price fluctuation; and, the order quantity of bulk order contract is positively correlated with the option execution price and is negatively correlated with the spot price fluctuation.


2016 ◽  
Vol 106 (12) ◽  
pp. 3962-3987 ◽  
Author(s):  
Jason Abaluck ◽  
Jonathan Gruber

We explore the in- and out-of-sample robustness of tests for choice inconsistencies based on parameter restrictions in parametric models, focusing on tests proposed by Ketcham, Kuminoff, and Powers (2016). We argue that their nonparametric alternatives are inherently conservative with respect to detecting mistakes. We then show that our parametric model is robust to KKP’s suggested specification checks, and that comprehensive goodness of fit measures perform better with our model than the expected utility model. Finally, we explore the robustness of our 2011 results to alternative normative assumptions highlighting the role of brand fixed effects and unobservable characteristics. (JEL D12, H51, I13, I18, J14)


2019 ◽  
Vol 15 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Anis Erma Wulandari ◽  
Harianto Harianto ◽  
Bustanul Arifin ◽  
Heny K Suwarsinah

Indonesia is the world 4th largest coffee producer after Brazil, Vietnam and Colombia with export potential and higher national consumption concluded in 2017 while the coffee production was relatively stagnant. This was led the producer to not only the production risk but also the price risk which then emphasize the importance of futures markets existence as price risk management. This study is performed to examine the impact of futures price volatility to spot market using ARCH-GARCH toward primary data of coffee futures and spot prices of 1172 trading days starting from January 2014 to June 2018. The ARCH-GARCH analysis result indicates that futures price volatility and monetary variables are impacting the volatility of spot price. Arabica spot price volatility is impacted by volatility of Arabica futures price, inflation and exchange rate while Robusta spot price is impacted by Robusta futures price volatility and exchange rate. This is confirming that futures market plays dominant role in spot price discovery. Local futures and spot prices are also found to be significantly influenced by volatility of offshore futures prices which indicates that emerging country futures market is actually influenced by offshore futures market which the price itself used as price reference.


2005 ◽  
Vol 13 (1) ◽  
pp. 29-52
Author(s):  
Ki Yool Ohk

This study analyzes the effect of stock index futures trading on the price volatility and liquidity of spot markets, It is found that spot price volatility increases significantly after stock index futures are listed, This study partitions the trading activity series of sPOt markets into expected and unexpected components, and documents that unexpected spot-trading activities are associated with smaller sPOt price movements subsequent to the introduction of futures trading, This imolies that spot market liquidity has been increased by the intraduction of futures trading, Furthermore, this study examines the effect of futures-trading activity on the liquidity of spot markets, Results show that active futures markets enhance the liquidity of soot markets.


2012 ◽  
Vol 12 (1) ◽  
pp. 26-36 ◽  
Author(s):  
Harry M Karamujic

The paper examines the impact of seasonal influences on Australian housing approvals, represented by the State of Victoria[1] building approvals for new houses (BANHs). The prime objective of BANHs is to provide timely estimates of future residential building work. Due to the relevance of the residential property sector to the property sector as whole, BANHs are viewed by economic analysts and commentators as a leading indicator of property sector investment and as such the general level of economic activity and employment. The generic objective of the study is to enhance the practice of modelling housing variables. In particular, the study seeks to cast some additional light on modelling the seasonal behaviour of BANHs by: (i) establishing the presence, or otherwise, of seasonality in Victorian BANHs; (ii) if present, ascertaining is it deterministic or stochastic; (iii) determining out of sample forecasting capabilities of the considered modelling specifications; and (iv) speculating on possible interpretation of the results. To do so the study utilises a structural time series model of Harwey (1989). The modelling results confirm that the modelling specification allowing for stochastic trend and deterministic seasonality performs best in terms of diagnostic tests and goodness of fit measures. This is corroborated with the analysis of out of sample forecasting capabilities of the considered modelling specifications, which showed that the models with deterministic seasonal specification exhibit superior forecasting capabilities. The paper also demonstrates that if time series are characterized by either stochastic trend or seasonality, the conventional modelling approach[2] is bound to be mis-specified i.e. would not be able to identify statistically significant seasonality in time series.According to the selected modeling specification, factors corresponding to June, April, December and November are found to be significant at five per cent level. The observed seasonality could be attributed to the ‘summer holidays’ and ‘the end of financial year’ seasonal effects. [1] Victoria is geographically the second smallest state in Australia. It is also the second most populous state in Australia. Australia has six states (New South Wales, Queensland, South Australia, Tasmania, Victoria, and Western Australia), and two territories (the Northern Territory and the Australian Capital Territory).[2] A modelling approach based on the assumption of deterministic trend and deterministic seasonality.


2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Xinru Hou ◽  
Xinsheng Xu ◽  
Haibin Chen

This paper considers the procurement mechanism with two supply channels, namely, an option contract purchase and a spot market. For the mechanism, under the stochastic demand and the stochastic spot price, we consider the portfolio procurement with the spot trading liquidity and the option speculation respectively. To maximize the buyer’s profit, we establish two optimal portfolio procurement strategy models for those two scenarios. Based on the buyer’s cost-benefit analysis, we present a solution method to each model and provide an optimal ordering policy to the buyer. By the obtained results, we analyze the role of the spot trading liquidity and option speculation in a buyer’s expected profit. Some numerical experiments are presented to show the validity of the formulated models.


Author(s):  
Susanna Dorigoni ◽  
Luigi Mazzei ◽  
Federico Pontoni ◽  
Antonio Sileo

- In the last few years, one of the main concerns of European Union in the energetic field has been that of facilitating the safeguard of raw materials' security of supply, especially that of natural gas. Import through LNG chain, that is, through the employment of LNG tankers for gas transportation, has been identified by the European Council as one of the instruments to achieve these goals. In fact, import via LNG does not require, for the importer, such investments as to determine an indissoluble physical tie between producer and buyer, as happens for transport via pipeline (Chernyavs'ka et al., 2002). In other words, investments in pipelines are very specific. Moreover, as they are made in order to support specific transactions, contracts usually take the form of long-term agreements with minimum offtake requirements (take or pay clauses): such contracts definitely contribute to the "cartelization" of the market, hindering competition. Unlike investments in pipelines, those in the LNG chain present a much lower degree of specificity: in fact, even though the construction of a regasification plant is generally tied to the stipulation of a long-term agreement (with take or pay clause), LNG chain costs have significantly decreased over time (until a few years ago) and, moreover, it is getting increasingly common that part of plant capacity is made available for spot transactions. What's more, once the contract is expired and the investment is sunk, the importer may satisfy his gas supply needs on the basis of his relative gains. As far as LNG import contractual practices are concerned, significant changes have started to take places in the last few years, both in terms of agreements' length - average duration has significantly decreased - and in terms of price indexation - in the most developed markets LNG price is tied to gas spot price (IEA, 2006). One of the many possible advantages of transport via LNG is that liquefied gas enables European importers to widen their gas suppliers portfolio. Increased possibilities of choice for importers, the widening of the group of exporting countries, and the increased integration of the European market, thanks to the possibility of redirecting cargoes depending on single countries' supply-demand balance, would contribute decisively to security of supply, market globalization and competition (between importers) in the industry (IEA, 2004). Yet, it must be stressed that import via tanker appears to be competitive with import via pipe only for the medium-long distances. As far as LNG chain is concerned, the element that so far has attracted the least attention, though being not less important than the other two, is certainly shipping. Being the link between the producing/exporting country and the importing country, and having been subject to major changes in the last few years, it is particularly interesting to analyze it singularly, aiming to understand how it is linked to the other elements of LNG value chain, besides studying industry dynamics. This paper will address this issue, aiming also to understand what has been and what will be in the future the evolutionary trajectory of this segment, starting from an analysis of operative and planned gas tankers, their size, their routes and their contractual situation. This analysis can be useful to make hypothesis about the growth of the spot market and, consequently, of market liquidity.Keywords: LNG, gas tankers, security of supply, competition, regasification plants, spot market, natural gas international tradeJEL classifications: L95, K12, F14, L11Parole chiave: GNL, navi gasiere, sicurezza dell'approvvigionamento, competizione, rigassificatori, mercato spot, commercio internazionale di gas naturale


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