Revenue Assurance describes a methodology to increase a company’s income by determining where revenue gets lost, and to maximize their profits by eliminating revenue leakage and lowering operating costs. Especially in times of increasing data volume and more and more complex business and operational systems infrastructure, it is a challenge to find methods for detecting revenue leakage and its ...

In this paper, we analyze the effects of oil revenue shocks on different sectors of the Iranian economy. We use quarterly data of the Iranian economy from 1988:2 to 2011:1 to analyze a time-varying parameter VAR model with the Bayesian method. The results show that in the late 1980s and early 1990s, the positive effects of oil revenue were mostly emerged in the industrial and oil sectors, havin...

We consider assortment optimization problems under the multinomial logit model, where the parameters of the choice model are random. The randomness in the choice model parameters is motivated by the fact that there are multiple customer segments, each with different preferences for the products, and the segment of each customer is unknown to the firm when the customer makes a purchase. This cho...

We consider the pricing problem of a platform that matches heterogeneous agents using match‐contingent fees. Absent prices, on short side such markets capture relatively greater surplus than those long (Ashlagi et al. 2017). Nevertheless we show need not bias its price allocation toward either side. With independently drawn preferences, optimal decisions are independent market size or imbalance...

the current study aims to examine the relationship between size, revenue diversity, and their interactive effects on systemic risk in private banking. the systemic risk can be measured bases on the marginal expected shortfall (mes). the mes is the average return on bank stocks on days when the return in the banking industry falls below the value at risk (var). the analysis of combined data from...