Constructing a risk dependency-based availability model

Author(s):  
Dwen-Ren Tsai ◽  
Hui-An Sang
2020 ◽  
Vol 1 (1) ◽  
pp. 88-102
Author(s):  
Ahmad Maulidizen

ABSTRACTIslamic banking in Indonesia has experienced significant growth, including assets, financing providedand the number of customers. Murābaḥah is the sale and purchase of goods at the original price with theagreed-upon profit. In murābaḥah the seller must tell the cost of the product he buys and determine anadditional level of profit. This research is a library research about the murābaḥah contract according tomuamalah fiqh and its application in modern Islamic financial institutions. Methods of collecting data indocumentation and various sources related to the murābaḥah contract are then analyzed inductively anddeductively. The results of the study are the murābaḥah foundation is the principle of buying and sellingwith a deferred payment system. Murābaḥah, as used in Sharia banking, is based on two main elements,namely the purchase price and related costs, and the agreement on mark-up (profit). Islamic banks adoptmurābaḥah to provide short-term financing to customers for the purchase of goods even though thecustomer does not have the money to pay. The murābaḥah financing portfolio in Islamic banks reaches 70-80%, but in practice there have never been any problems, including; collateral which is a problem of fiqh,risk dependency as a problem of the bank, bankruptcy and delay in payment are the problems of customers,and profits are too high, namely the problem of coming from the community. Therefore, Islamic banks mustmake improvements in the implementation to be in accordance with Sharia.Keyword : Murābaḥah, Financing Instruments, Modern Islamic Financing


Author(s):  
William G. Allen ◽  
Vijay Perincherry

It is well accepted that travel forecasting models benefit from the stratification of travel markets by socioeconomic levels. The number of vehicles available is a key indicator of that level. Using this variable requires that the proportion of households by vehicles available be forecast for each zone. An improved submodel for forecasting vehicle availability by incorporating transit accessibility and land use indicators along with the usual demographic variables is described. This model uses a two-stage approach. The first stage is similar to many other models in current use. In the first step, a lookup table is used to identify an initial estimate of the proportion of 0-vehicle, 1-vehicle, 2-vehicle, and 3+-vehicle households on the basis of the household's size (1–4 +), number of workers (0–3 +), and income quartile (1–4). This lookup table has 52 cells, with each cell containing the four proportions by vehicles available. Census Public Use Microdata Sample data were used to create this lookup table. The second stage applies an incremental logit model to the initial proportions. In this step, the effects of transit accessibility and land use form on vehicle availability are modeled. Accessibility and density measures are used to calculate a “disutility” measure, which is then used to modify the initial percentages. Good transit service and high development density are associated with lower vehicle ownership. Vehicle availability models of this type recently have been successfully calibrated for the Washington, D.C., and Seattle, Washington, areas.


Author(s):  
A.P. Dubin ◽  
P.B. Riley ◽  
D.E. Herman ◽  
R.S. Clifton

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