scholarly journals Optimal Investment Timing and Scale Choice of Overseas Oil Projects: A Real Option Approach

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 2954 ◽  
Author(s):  
Jia-Yue Huang ◽  
Yun-Fei Cao ◽  
Hui-Ling Zhou ◽  
Hong Cao ◽  
Bao-Jun Tang ◽  
...  

This article presents a real option model for helping investors to determine the optimal investment timing and scale of overseas oil projects. The model is suitable for the highly uncertain environments in which many oil companies operate, where they have to suspend upstream investment, stop new oilfield construction, and wait for proper oil prices in order to avoid losses. Considering the uncertainty of oil prices and exchange rates, the results of analytical solutions presented in this paper show the critical oil price that can be seen as the investment threshold for triggering oilfield development as well as the optimal recoverable factor for every oil price level to indicate the optimal investment scale. Results of the case project show the critical oil price, which is 82.32 US dollar per barrel, and the selection of optimal investment scale. The article also demonstrates the impact of investment scale on investment timing in overseas oil projects. The policy implication from the case project is that investment decisions are finitely impacted by geological conditions. Besides, the existence of tax holiday directly contributes to a lower investment threshold. In addition, reducing unit operation cost can obviously enlarge optimal investment scale and initiate oil projects in a relatively low level of investment threshold.

Kybernetes ◽  
2016 ◽  
Vol 45 (10) ◽  
pp. 1604-1616 ◽  
Author(s):  
Rufei Ma ◽  
Pengxiang Zhai

Purpose One of the important characteristics of the hotel business is uncertainty of lodging demand, which can jeopardize hotel operation and ultimately even threaten a hotel’s survival during an economic recession. The purpose of this paper is to propose an approach to determine optimal hotel investment issues under uncertain lodging demand. Design/methodology/approach Uncertainty of lodging demand is classified into two types: the impact of unexpected economic recession and the temporary imbalance between supply of hotel rooms and lodging demand. A jump-diffusion real option approach is proposed to analyze how these two types affect optimal investment timing and the potential value of new hotel projects. The case of hotel investment in Macao is used to illustrate the jump-diffusion real option approach. Findings The results of numerical analysis show that the uncertainty induced by temporary imbalance between supply of hotel rooms and lodging demand increases the threshold of investment and hotel value, while the uncertainty induced by unexpected economic recession has ambiguous effects on the value and optimal investment timing of new hotel projects. Practical implications The jump-diffusion real option approach increases managerial flexibility for managers when making investment decisions on new hotel projects, allowing greater value to be generated than is possible with the conventional discounted cash flow method. Originality/value The approach separates the impact of unexpected economic recession on lodging demand from that of “normal” fluctuations in lodging demand, and it considers the impact of both types of uncertainty on hotel investment.


2020 ◽  
pp. 41-50
Author(s):  
Ph. S. Kartaev ◽  
I. D. Medvedev

The paper examines the impact of oil price shocks on inflation, as well as the impact of the choice of the monetary policy regime on the strength of this influence. We used dynamic models on panel data for the countries of the world for the period from 2000 to 2017. It is shown that mainly the impact of changes in oil prices on inflation is carried out through the channel of exchange rate. The paper demonstrates the influence of the transition to inflation targeting on the nature of the relationship between oil price shocks and inflation. This effect is asymmetrical: during periods of rising oil prices, inflation targeting reduces the effect of the transfer of oil prices, limiting negative effects of shock. During periods of decline in oil prices, this monetary policy regime, in contrast, contributes to a stronger transfer, helping to reduce inflation.


2017 ◽  
Vol 5 (4) ◽  
pp. 27
Author(s):  
Huda Arshad ◽  
Ruhaini Muda ◽  
Ismah Osman

This study analyses the impact of exchange rate and oil prices on the yield of sovereign bond and sukuk for Malaysian capital market. This study aims to ascertain the effect of weakening Malaysian Ringgit and declining of crude oil price on the fixed income investors in the emerging capital market. This study utilises daily time series data of Malaysian exchange rate, oil price and the yield of Malaysian sovereign bond and sukuk from year 2006 until 2015. The findings show that the weakening of exchange rate and oil prices contribute different impacts in the short and long run. In the short run, the exchange rate and oil prices does not have a direct relation with the yield of sovereign bond and sukuk. However, in the long run, the result reveals that there is a significant relationship between exchange rate and oil prices on the yield of sovereign bond and sukuk. It is evident that only a unidirectional causality relation is present between exchange rate and oil price towards selected yield of Malaysian sovereign bond and sukuk. This study provides numerical and empirical insights on issues relating to capital market that supports public authorities and private institutions on their decision and policymaking process.


Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4630 ◽  
Author(s):  
Cody Yu-Ling Hsiao ◽  
Weishun Lin ◽  
Xinyang Wei ◽  
Gaoyun Yan ◽  
Siqi Li ◽  
...  

In order to address a series of issues, including energy security, global warming, and environmental protection, China has ranked first in global renewable investment for the seventh consecutive year. However, developing a renewable energy industry requires a significant capital investment. Also, the international oil price fluctuations have an important impact on the stock prices of renewable energy firms. Thus, in order to provide implications for market investment as well as policy recommendations, this paper studied the spillover effect of international oil prices on the stock prices of China’s renewable energy listed companies. We used a Vector Autoregressive (VAR) model with innovations using a Factor-GARCH (Generalized Autoregressive Conditional Heteroskedasticity) process to evaluate the impact of market co-movements and time-varying volatility and correlation between the international oil price and China’s renewable energy market. The results show that the international oil price has a significant price spillover effect on the stock prices of China’s renewable energy listed companies. Moreover, the fluctuations of international oil prices have an influence on the stock price variations of Chinese renewable energy listed companies.


2020 ◽  
Vol 12 (11) ◽  
pp. 4689 ◽  
Author(s):  
Shahriyar Mukhtarov ◽  
Jeyhun I. Mikayilov ◽  
Sugra Humbatova ◽  
Vugar Muradov

The study analyzes the impact of economic growth, carbon dioxide (CO2) emissions, and oil price on renewable energy consumption in Azerbaijan for the data spanning from 1992 to 2015, utilizing structural time series modeling approach. Estimation results reveal that there is a long-run positive and statistically significant effect of economic growth on renewable energy consumption and a negative impact of oil price in the case of Azerbaijan, for the studied period. The negative impact of oil price on renewable energy consumption can be seen as an indication of comfort brought by the environment of higher oil prices, which delays the transition from conventional energy sources to renewable energy consumption for the studied country case. Also, we find that the effect of CO2 on renewable energy consumption is negative but statistically insignificant. The results of this article might be beneficial for policymakers and support the current literature for further research for oil-rich developing countries.


2011 ◽  
Vol 57 (No. 8) ◽  
pp. 394-403 ◽  
Author(s):  
J. Pokrivčák ◽  
M. Rajčaniová

The world annual biofuel production has exceeded 100 billion litres in 2009. The development of the biofuel production is partly influenced by the government support programs and partly by the development of oil prices. The main purpose of this paper is to analyze the statistical relationship between ethanol, gasoline and crude oil prices. We aim to check the correlation among these variables and to analyze the strength and direction of a possible linear relationship among the variables. We are interested in analyzing how each variable is related to another, so we evaluate the inter-relationship among the variables in the Vector Autoregression (VAR) and the Impulse Response Function (IRF). In order to achieve our goal, we first collected weekly data for each variable from January, 2000 to October, 2009. The results provide evidence of the cointegration relationship between oil and gasoline prices, but no cointegration between ethanol, gasoline and ethanol, oil prices. As a result, we used a VAR model on first differences. After running the Impulse Response Function, we found out that the impact of the oil price shock on the other variables is considerable larger than vice versa. The largest impact of oil price shock was observed on the price of gasoline.  


2007 ◽  
Vol 42 (2) ◽  
pp. 467-488 ◽  
Author(s):  
Graeme Guthrie

AbstractReal option analysis typically assumes that projects are continuously evaluated and launched at precisely the time determined to be optimal, but real world projects cannot be managed in this way because of the costs of formally evaluating an investment opportunity. This paper shows that immediate investment is more attractive if evaluation costs are high or the amount of information to be revealed by an evaluation is large. The optimal delay until a reevaluation is long if evaluation costs are high or the amount of information to be revealed by an evaluation is small. The reduction in the value of project rights is especially severe when the value of the completed project is strongly mean reverting because then precision in investment timing is particularly important.


2020 ◽  
Vol 54 (3) ◽  
pp. 719-748
Author(s):  
Sepideh Kaffash ◽  
Emel Aktas ◽  
Mohammad Tajik

This paper presents a novel application of Data Envelopment Analysis (DEA) to analyze the impact of oil price changes on the efficiency of banks. Factors that affect the efficiency of banks have been of interest to researchers in various geographical regions. With a special focus on oil price changes, we investigate the determinants of bank efficiency in the Middle Eastern Oil-Exporting (MEOE) countries where macro-financial conditions are substantially affected by swings in oil prices. Our analysis consists of two stages: (i) measuring the efficiency scores of banks using the Semi-Oriented Radial Measure (SORM) DEA model, (ii) investigating the impact of alternative indicators of oil prices on the estimated efficiency scores after controlling for key bank-specific and country-specific variables. The analysis is based on an un-balanced panel data of banks operating in the Middle Eastern Oil-Exporting countries over the period of 2001–2011. Our findings reveal that oil price changes affect the efficiency of banks in the MEOE countries through both direct and indirect channels. In addition, we find that Islamic banks in the region are less responsive to oil price changes than commercial and investment banks.


Subject Oil market dynamics. Significance The price of crude oil, already weakened by the impact of the COVID-19 outbreak on demand, has plummeted this month after Russia refused to agree to further output cuts in coordination with OPEC. The plunge in the oil price will exert huge financial pressure on economies heavily dependent on oil revenues, including Saudi Arabia. Oil companies, particularly US shale oil producers, will also be under pressure. Impacts Budgetary pressures will sharply reduce petro-economies’ GDP growth this year, exerting a sizeable drag on global economic growth. Net importing nations will see little benefit from the sharp price drop until transportation demand recovers from the impact of COVID-19. Oil is losing market share in transportation usage, but cheap oil poses a risk to this; regulation will maintain the direction of travel. The oil services sector will face huge pressure on profit margins.


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