2. Markets

‘Markets’ examines markets, looking at demand and supply. The demand curve provides information on how the demand for a given product changes with its price, while the supply curve illustrates the correlation between the product price and quantity available for a given period. The meeting point between the two, in a competitive market, represents the market price. The market price is affected, among other things, by the nature of the product in question, by the availability and price of substitutions (cross-price elasticity), by changing consumer needs and preferences, by innovation, and by consumers’ level of income. There are two types of markets relevant here: the product market and the geographical market.

Will Shale Impede or Accelerate the Global Energy Transition?

United States (U.S.) shale has transformed oil market dynamics in ways we never thought possible. Shale oil has transformed the oil supply curve through massive supply shocks, such as the rapid increase in tight oil production over the past decade, alongside productivity and technology developments.

The market demand- (and supply) curve paradox

After many years of teaching utility maximization in Microeconomics a certain paradoxical puzzle has come to our attention. It is very simple and straightforward, but we still find it hard to explain it to students. Our hope is that the distinguished community of theoretical economists may help us solve this mystery. After all, we would find it extremely unlikely that we are the first persons to identify this paradox.

Predicting Futures Price And Contract Portfolios Using The ARIMA Model: A Case of Nigeria’s Bonny Light and Forcados

Market prediction has been the goal of many study as investors sought traded assets since the inception of the capital market. With each asset exchanged for money, investors seek to stay ahead the market trend in the hope of amassing profits. Businesses’ growth (rise/fall) is evident upon their response to market behaviour. Thus, accurate prediction of the market often offers as its reward, enlarged financial portfolio. Market participants thus, seek to manage the risks associated with asset prices and its volatility, which can be rippled with chaos and complex tasks arising from a demand-supply curve. We seek to model the Oil market and forecast its price direction supported with empirical evidence using ARIMA model to analyze inputs in search of an optimal solution. We adopt the OPEC model to: (a) predict spot/futures-prices, (b) investigate why previous prediction was poor and price plummeted, and (c) compares value(s) from Ojugo and Yoro (2020) and Ojugo and Allenotor (2017). Results shows demand-supply curve rise (and a price rise) even though the policies and trend in real life scenario is currently experiencing a price plummet.

NONLINEAR RELATIONSHIP BETWEEN HOUSING SUPPLY AND HOUSE PRICE IN MALAYSIA

The novelty of this paper is to ascertain a nonlinear relationship between housing supply and house price. This study is conducted based on panel dataset of four different types of houses in Malaysia from 2002Q3 through 2016Q4. Although housing supply has been theoretically assumed to be positively and linearly related to house price, we observed that the number of new houses build in Malaysia has declined despite the increasing house prices. Hence, we posit that housing supply and house price are nonlinearly related. The results from pooled mean group estimation show the existence of inverted U-shaped housing supply curve. The threshold level of house price index is found at 186.92 where the effect of house price on housing starts will become negative after this point. We also find that the marginal effects of house price evaluated at the minimum and maximum levels are positive and negative, respectively, and statistically significant. This paper suggests that the squared term of house price should be included in estimating housing supply in Malaysia. The evidence of inverted U-shaped housing supply curve in Malaysia shows that housing authorities have taken steps to overcome the challenges of oversupply by reducing the approvals for housing development projects.