generally, high oil prices slow economic growth, cause inflationary pressures and creates global imbalances. in addition, oil price volatility increase uncertainty and restrain the much-needed investment in the capital market. thus, this paper applies the augmented dickey fuller and johansen co-integration tests in which the effect of oil price volatility, crude oil price and stock price is ana...

Nominal government debt, including the monetary base, is a residual claim to government surpluses. Thus, the value of Þat money can be determined in a completely frictionless economy, just like the price of stock. The main theoretical objection to this Þscal theory of the price level is that it mistreats the government’s intertemporal budget constraint. I show that the valuation equation for no...

This article considers the deterministic singular optimal control problem of profit maximisation for inventory replenished at a variable rate and depleted by demand which is assumed to vary with price and stock availability. Optimal policies for the product order rate and price are derived using the maximum principle. Several initial inventory regions are identified as potential inventory state...

Stock price crash risk has a significant impact on investors, creditors, managers, and shareholders, so the prediction of this phenomenon is a very important issue in investment and risk management decisions. This research investigates the effect of business strategy and stock price synchronicity on stock price crash risk. Following Bentley et al.[2], composite strategy score has been used to ...

This study proposes a new multi-item inventory model with hybrid cost parameters under a fuzzy-stochastic constraint and permissible delay in payment. The price and marketing expenditure dependent stochastic demand and the demand dependent the unit production cost are considered. Shortages are allowed and partially backordered. The main objective of this paper is to determine selling price, mar...

In this article, an inventory model is developed to deal with the impreciseness present in the market demand and the various cost parameters. The presented model is developed in crisp and fuzzy environments. Signed distance method is used for defuzzification. In most of the classical models, constant demand rate is considered. But in practice purchasing deeds of the customers is affected by the...

I n many industries, managers face the problem of selling a given stock of items by a deadline. We investigate the problem of dynamically pricing such inventories when demand is price sensitive and stochastic and the firm's objective is to maximize expected revenues. Examples that fit this framework include retailers selling fashion and seasonal goods and the travel and leisure industry, which ...