Reframing of Financial Risk Modeling in Specialized Financial Institution: Evidence from Zarai Taraqiati Bank Limited of Pakistan

2017 ◽  
Author(s):  
Mirza Muhammad Ali Baig ◽  
Ahmad Raza Bilal
2019 ◽  
Vol 1 (1-4) ◽  
pp. 67-89 ◽  
Author(s):  
Matthew F. Dixon ◽  
Cuneyt Gurcan Akcora ◽  
Yulia R. Gel ◽  
Murat Kantarcioglu
Keyword(s):  

Author(s):  
Paul Raschky ◽  
Sommarat Chantarat

ASEAN countries are frequently hit by a variety of natural disasters, and a large fraction of economic activity in ASEAN countries is located in areas exposed to these natural perils. Increasing disaster damages require ASEA countries to manage the financial losses in a more efficient and proactive manner. Currently, most risk-transfer mechanisms in this region rely on ad-hoc government relief, which is not sustainable. Multilateral cooperation in the areas of risk-modeling and mapping as well as joint efforts to establish financial risk-transfer solutions could help to overcome existing challenges in this area.


Author(s):  
Arturo Leccadito ◽  
Sergio Ortobelli Lozza ◽  
Emilio Russo ◽  
Gaetano Iaquinta

2020 ◽  
Vol 10 (1) ◽  
pp. 15
Author(s):  
Lily Rahmawati Harahap ◽  
Shara Wulandari ◽  
Ellys Thoyib ◽  
R Y Effendy

The purpose of writing this article is to find out how the Altman Z-Score discriminant analysis method has a simple role in conducting financial risk analysis. As an object, PT. Bank Tabungan Pensiunan Nasional Syariah (BTPN Syariah), Tbk. Selected by non-random sampling with purposive sampling technique through the website. PT. BTPN Syariah, Tbk. is one of a financial institution that has a role in Indonesia's economy. As an intermediary, PT BTPN Syariah, Tbk. can not avoid risks, both in the form of financial and non-financial risks. To deal with these risks, one important element is to improve its financial performance. One of the depictions of financial performance can be known from the value obtained by using the Altman Z-Score analysis. The data used in this study are secondary in the form of financial statements, which consist of the balance sheet and income statement. The time period taken as data is the period from 2014 to 2018. After each data is obtained and studied then analyzed by using the Altman Z-Score method. So it can be seen what level of risk PT. BTPN Syariah, Tbk. has, whether the low level of risk, grey area, or high level of risk. From the data analysis, it was found that the level of financial risk of PT. BTPN Syariah, Tbk. is in the low-risk level category. In other words, it describes the company that is not bankrupt. This is indicated by the acquisition value of Z-Score > 2.6 which is 5.7438 in 2014, 6.7326 in 2015, 6.9953 in 2016, 8.2041 in 2017, and 7.2012 in 2018.


2019 ◽  
Author(s):  
Matthew Francis Dixon ◽  
Cuneyt Akcora ◽  
Yulia Gel ◽  
Murat Kantarcioglu
Keyword(s):  

2012 ◽  
Vol 18 (2) ◽  
pp. 227-234 ◽  
Author(s):  
Jieh-Haur Chen ◽  
Wei-Hsiang Chen

Literature reveals that approximately 66% of construction project funds are raised from financial institutions. The burden of capital costs on contractors is heavy and financial alternatives for the reduction of capital costs are always desired. The objective of this study is to derive a mathematical way of defining the contractor's costs for factoring account receivables, which is a form of commercial finance whereby a business sells its account receivables at a discount. Factoring can be thus considered as a contractor selling his/her accounts receivable to a factor, a financial institution that provides the services of financing, credit management, and collection. Nevertheless, factoring has far not been used for construction project financing. The relevant literature, empirical practices, and factoring theories from outside the construction industry are all evaluated and the features needed to derive the cost function are explored and integrated. This includes commission costs, expected debt costs, and credit monitoring costs. The case study is utilized and discussed to illustrate the use of factoring for a construction project and its related costs. Under the given assumptions that represent the most common financial conditions in Taiwan, the simulation results show that the contractor's factoring costs without recourse for the construction project make up only 0.8% of the total costs of the examined project which is relatively lower than that of most traditional financing. In addition, the application of factoring has the advantage of facilitating financial management, instantly improving cash flow, enhancement of investment efficiency, avoiding extra loan procedures, improving credit rating, and transfer of financial risk. Factoring is indeed a feasible financial tool for construction projects. Santrauka Literatūros šaltiniai rodo, kad statybų projektuose apie 66 % lėšų gaunama iš finansų institucijų. Rangovams tenka didžiulė kapitalo sąnaudų našta, taigi visuomet pageidautina turėti finansinių alternatyvų kapitalo sąnaudoms mažinti. Šiuo tyrimu siekiama surasti, kaip matematiškai nustatyti rangovo sąnaudas, gautinas sumas perduodant pagal faktoringą, kuris yra komercinio finansavimo forma, kai įmonė savo gautinas sumas parduoda su tam tikra nuolaida. Taigi galima sakyti, kad faktoringo atveju rangovas savo gautinas sumas parduoda faktoriui – finansų institucijai, kuri teikia finansavimo, kreditų tvarkymo ir pinigų rinkimo paslaugas. Tačiau faktoringas ne itin naudojamas statybų projektams finansuoti. Įvertinama atitinkama literatūra, empiriniai pavyzdžiai ir su statybų sektoriumi nesusijusios faktoringo teorijos, nagrinėjamos bei integruojamos savybės, leidžiančios išvesti sąnaudų funkciją. Jos apima komisinius mokesčius, numatomą skolos kainą ir kredito stebėjimo sąnaudas. Atliekamas ir aptariamas atvejo tyrimas, siekiant parodyti faktoringo naudojimą statybų projekte ir susijusias sąnaudas. Pasitelkus tam tikras prielaidas, atspindinčias dažniausiai Taivane pasitaikančias finansines sąlygas, modeliavimo rezultatai rodo, kad statybų projekto atveju rangovo sąnaudos faktoringui be regreso teisės sudaro tik 0,8 proc. visų nagrinėto projekto sąnaudų, o tai gerokai mažiau už daugumą tradicinių finansavimo būdų. Be to, faktoringas duoda ir kitokios naudos: palengvina finansų tvarkymą, iškart pagerina pinigų srautus, padidina investicijų efektyvumą, leidžia išvengti papildomų paskolų procedūrų, pagerina kreditingumą ir perkelia finansinę riziką. Taigi faktoringas – išties tinkamas finansinis įrankis statybų projektams.


2019 ◽  
Vol 10 (1) ◽  
pp. 26-35 ◽  
Author(s):  
Inna Shkolnyk ◽  
Eugenia Bondarenko ◽  
Ievgen Balatskyi

The Ukrainian stock market is rated as an emerging market, which is characterized by high profitability and higher risk level as compared to developed economies. Securities transactions on the Ukrainian stock market are accompanied by stable uncertainties. Moreover, insurance is the most effective way to reduce financial risks and their negative effects. Given the current economic and political instability, financial risk insurance can ensure the economic performance of business entities and stimulate their further economic development. Financial risk insurance is the liability insurance in its nature, but its terms are often included in property insurance. This insurance sector has considerable facilities, which require activation of new insurance products that will be able to protect individual and institutional investors. Insurance and stock markets are direct competitors for limited investor resources, including strategic sources such as temporarily free institutional investor funds and household savings. In general, although there is a significant interaction between the insurance and other financial markets in Ukraine, it is hardly realized at all, unlike foreign economies, where it is used to its maximum. With the development of the insurance culture of the population and insurance in general, the relevance of insurance services in a high-risk segment like the stock market increases. The article harmonizes types of financial risks arising on the stock market with the methods of their leveling (insurance, hedging, diversification, etc.), determines the risk factors of the investor in the stock market, and specifies the professional risks of financial institutions. For the Ukrainian stock market participants, the use of two types of insurance coverage, namely, Bankers Blanket Bond and Financial Institution Professional Indemnity, is proposed.


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