Risk Management
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2021 ◽  
Vol 11 (1) ◽  
pp. 497-507
Artur Woźny ◽  
Michał Kościółek ◽  
Anna Ostrowska-Dankiewicz ◽  
Piotr Saja

2021 ◽  
Vol 2 (3) ◽  
pp. 169-190
Anele Andrew Nwosi ◽  
Akani Elfreda Nwakaego

This study examined the effect of credit risk management on sub-standard loan portfolio of quoted commercial banks in Nigeria. Cross sectional data was sourced from financial statement of commercial banks and Central Bank of Nigeria Statistical bulletin from 2009-2018. Sub-standard portfolio was used as dependent variable while bank risk diversification, Basel risk compliance, risk transfer were used as independent variables. Panel data methodology was employed while the fixed effects model was used as estimation technique at 5% level of significance. Fixed effects, random effects and pooled estimates were tested while the Hausman test was used to determine the best fit. Panel unit roots and panel cointegration analysis were conducted on the study.   The empirical results proved that 41.7 per cent variations in the sub-sub-standard loans’ portfolio   was explained by credit risk management. From the random effect results, bank risk transfer and Basel compliance have positive relationship with sub-standard loan portfolio while risk bank risk diversification have negative relationship with sub-stand ad loan portfolio of the commercial banks.  We recommend that management of the commercial banks should be pro-active and devise effective measures of managing credit risk to reduce the incidence of sub-standard loans.  The monetary authority should monitor the Basel compliance rate and policies of the commercial banks to credit risk management

Akinbola Adeyose Emmanuel

The study examined the performance and risk management of vegetable production in Ogun State, Nigeria. A multistage sampling procedure was used to select 120 respondents for the study. Data were collected through a well-structured questionnaire and personal interview schedule. Descriptive statistics and inferential statistics such as Ordinary Least Square (OLS) were used for the analysis of this study. The results found out that lack of discriminating pricing system, conflict in policy making, and high cost of inputs affect the market prices and as well serve as the main production risks that were observed by the farmers in the area. The average cost incurred for the production was about ₦6,908, while the total revenue accrued was ₦41,751. The gross margin and net farm income realized per production season were ₦36,973 and ₦34,843, respectively. The value (6.0) of return on investment showed that farmers realized times six of their investment. The variables such as household size, farm size, fertilizer application and equipment were the main determinants of vegetable production in the area. Also, the main challenges faced by the farmers were the infestation of pests and diseases, inadequate funds and climate change consequences. Therefore, it is recommended that the vegetable farmers should be encouraged through technical training on innovative approach to price determination and forming of functioning market structure in the area.

2022 ◽  
Vol 158 ◽  
pp. 106934
Alexander Badry ◽  
Gabriele Treu ◽  
Georgios Gkotsis ◽  
Maria-Christina Nika ◽  
Nikiforos Alygizakis ◽  

2021 ◽  
pp. 101269022110456
Minhyeok Tak ◽  
Chang-Hwan Choi ◽  
Michael P Sam

The global expansion of sports betting has resulted in the formation of (inter)national governing regimes aimed at sustaining revenue and regulating attendant issues, including match-fixing. This article explores the workings of these regimes vis-à-vis the management of match-fixing issues in sport. More particularly, this article focuses on betting monitoring programmes as countermeasures against match-fixing and conceptualises these as social instruments that ultimately define issues and influence the wider integrity agenda of anti-match-fixing campaigns. Analysing documentary, observation and interview data from two disparate monitoring programmes, the results show that betting monitoring is a technical extension of corporate risk management, invariably reflecting the business interests of the betting industry. Therefore, the operating logic of betting monitoring defines match-fixing as an act of sabotaging the competitive edge of betting companies. Moreover, this interest-laden paradigm reigns within the broader policy agenda of sport integrity by equating the betting industry's interest with that of sport. From this, the article suggests that betting monitoring plays a part in the legitimation of commercial gambling by reframing the issue of match-fixing as a common enemy that gambling and sport join forces to combat, not a risk that gambling brings to sport.

2021 ◽  
Vol 14 (11) ◽  
pp. 510
Per Bjarte Solibakke

This paper builds and implements multifactor stochastic volatility models for the international oil/energy markets (Brent oil and WTI oil) for the period 2011–2021. The main objective is to make step ahead volatility predictions for the front month contracts followed by an implication discussion for the market (differences) and observed data dependence important for market participants, implying predictability. The paper estimates multifactor stochastic volatility models for both contracts giving access to a long-simulated realization of the state vector with associated contract movements. The realization establishes a functional form of the conditional distributions, which are evaluated on observed data giving the conditional mean function for the volatility factors at the data points (nonlinear Kalman filter). For both Brent and WTI oil contracts, the first factor is a slow-moving persistent factor while the second factor is a fast-moving immediate mean reverting factor. The negative correlation between the mean and volatility suggests higher volatilities from negative price movements. The results indicate that holding volatility as an asset of its own is insurance against market crashes as well as being an excellent diversification instrument. Furthermore, the volatility data dependence is strong, indicating predictability. Hence, using the Kalman filter from a realization of an optimal multifactor SV model visualizes the latent step ahead volatility paths, and the data dependence gives access to accurate static forecasts. The results extend market transparency and make it easier to implement risk management including derivative trading (including swaps).

2021 ◽  
Vol 1 (02) ◽  
pp. 129-145
Luthfiana Basyirah ◽  
Iskandar Ritonga ◽  

Pembiayaan Tabarok (Tanpa Agunan dan Barokah) merupakan salah satu produk yang disalurkan oleh Bank Pembiayaan Rakyat Syariah SPM Pamekasan kepada masyarakat dengan menerapkan akad muḍārabah dan tanpa agunan dalam melaksanakan aktivitas UMKM. Sejak terjadi kasus Covid-19 (Corona Virus Disease- 19) yang semakin meluas di Indonesia menyebabkan lumpuhnya kondisi sosial dan ekonomi masyarakat. Tidak bisa dipungkiri bahwa hal tersebut akan sangat berpengaruh dan menyebabkan beberapa permasalahan khususnya dalam berbagai kegiatan sosial dan ekonomi. Hal tersebut juga akan berpengaruh terhadap kegiatan Perbankan Shariah, termasuk BPRS SPM Pamekasan yang akan dihadapkan dengan beberapa risiko dengan tingkatan kompleksitas yang berbeda-beda, hal tersebut akan terus berdampingan dengan kegiatan bisnis. Dengan demikian, suatu lembaga perlu melakukan implementasi manajemen risiko dengan tujuan untuk mencegah adanya risiko pembiayaan yang kemungkinan terjadi di kemudian hari. Tujuan dalam penelitian ini untuk mengetahui implementasi risk management pada pembiayaan Tanpa Agunan dan Barokah di BPRS SPM Pamekasan dengan menggunakan pendekatan kualitatif dan jenis penelitian studi kasus.  Hasil penelitian menyatakan bahwa, implementasi risk management pada pembiayaan Tabarok di BPRS SPM Pamekasan menggunakan 5 (lima) proses manajemen risiko, yaitu identifikasi risiko, pengukuran risiko, monitoring risiko, pengendalian risiko, dan penyelamatan risiko.

Water ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 2972
Donald Houston ◽  
Tom Ball ◽  
Alan Werritty ◽  
Andrew R. Black

This paper aims to analyse evidence, based on one of the largest and most representative samples of households previously flooded or living with flood risk to date, of social patterns in a range of flood resilience traits relating to preparedness prior to a flood (e.g., property adaptations, contents insurance, etc.) and mitigations enacted during and immediately following a flood (e.g., receiving a warning, evacuation into temporary accommodation, etc.). The data were collected from a 2006 survey of 1223 households from a variety of locations across Scotland between one and twelve years after major local floods. Our analysis identifies remarkably few social differences in flood preparedness and mitigation measures, although some aspects of demography, housing and length of residence in an area, as well as personal flood history, are important. In light of this finding, we argue that social differences in vulnerability and resilience to flooding arise from deep-seated socio-economic and socio-spatial inequalities that affect exposure to flood risk and ability to recover from flood impacts. The engrained, but well-meaning, assumption in flood risk management that impoverished households and communities are lacking or deficient in flood preparedness or mitigation knowledge and capabilities is somewhat pejorative and misses fundamental, yet sometimes invisible, social stratifications play out in subtle but powerful ways to affect households’ and communities’ ability to avoid and recover from floods. We argue that general poverty and inequality alleviation measures, such as tax and welfare policy and urban and community regeneration schemes, are likely to be as, if not more, important in alleviating social inequalities in the long-term impacts of floods than social targeting of flood risk management policy.

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