The financial benefits of health engagement programs to life insurers DOI Creative Commons
Hae Kang Lee

Financial Innovation, Journal Year: 2024, Volume and Issue: 10(1)

Published: Nov. 1, 2024

Abstract Life insurance companies, as equity stakeholders in policyholders’ lives, have incentives to mitigate their health risks. I introduce a framework that enables life insurers evaluate the financial viability of developing and implementing engagement programs. By leveraging proprietary big database mortality information from large U.S. insurer, use machine learning techniques quantify benefits rational addiction model calculate costs associated with these The estimated net benefit available insurer smoking cessation program is USD 87 million aggregate including other chronic conditions 872 million. explore broader application this general policy context.

Language: Английский

Analysing the financial innovation-based characteristics of stock market efficiency using fuzzy decision-making technique DOI Creative Commons
Dadan Rahadian, Anisah Firli, Hasan Dınçer

et al.

Financial Innovation, Journal Year: 2025, Volume and Issue: 11(1)

Published: Jan. 6, 2025

Abstract Necessary actions should be taken to ensure stock market efficiency; thus, financial innovation-based criteria that affect efficiency improved. However, simultaneously improving all is difficult; therefore, performing priority analysis important for carrying out this process effectively and efficiently. Accordingly, study aims evaluate the characteristics of efficiency. This study’s main research question within framework identifying which factors prioritized improve market. In scope, we created a novel fuzzy decision-making model consisting two stages. First, selected are weighted. process, quantum spherical sets based on DEMATEL considered. second stage, economies ranked using technique order preference by similarity ideal solution (TOPSIS) approach. contribution in calculating criterion weights provides some advantages. With help situation, causal directions between these items can considered; it possible determine most accurate strategies. The findings demonstrate providing tax advantages factor ensuring Moreover, excellence system critical context, provide advantages, especially long-term investments. Thus, investments increased, significantly increasing market’s stability.

Language: Английский

Citations

1
Multivariate GARCH models with spherical parameterizations: an oil price application DOI Creative Commons
Luca Vincenzo Ballestra, Riccardo De Blasis, Graziella Pacelli

et al.

Financial Innovation, Journal Year: 2025, Volume and Issue: 11(1)

Published: Jan. 11, 2025

Abstract In popular Baba-Engle-Kraft-Kroner (BEKK) and dynamic conditional correlation (DCC) multivariate generalized autoregressive heteroskedasticity models, the large number of parameters requirement positive definiteness covariance matrices pose some difficulties during estimation process. To avoid these issues, we propose two modifications to BEKK DCC models that employ spherical parameterizations applied Cholesky decompositions matrices. their full specifications, introduced Cholesky-BEKK Cholesky-DCC allow for a reduction in compared with traditional counterparts. Moreover, application transformation does not require imposition inequality constraints on estimation. An crude oils, WTI Brent, main exchange rate prices demonstrates can capture dynamics covariances correlations. addition, Kupiec test different portfolio compositions confirms satisfactory performance proposed models.

Language: Английский

Citations

0
Extreme time–frequency connectedness between oil shocks and sectoral markets in the United States DOI Creative Commons
Oğuzhan Özçelebi, José Pérez-Montiel, Sang Hoon Kang

et al.

Financial Innovation, Journal Year: 2025, Volume and Issue: 11(1)

Published: Jan. 21, 2025

Abstract This study assessed the connectedness between oil shocks and industry stock indexes in United States (US). We consider normal extreme conditions across different frequency horizons, quantile time–frequency method is used to determine tail risk contagion under horizons. Our results reveal that short-term significantly exceeds long-term connectedness. also indicate lower upper quantiles greater than at conditional mean. Importantly, shock biggest net transmitter of US sectors conditions, highlighting cause substantial variations sector returns short, medium, long term. Finally, QAR(3) model demonstrates significant impact on during conditions. Therefore, our underscores role asymmetry reaction oil-related shocks, we suggest policies aimed overcoming adverse effects markets promoting financial stability should incorporate asymmetric features.

Language: Английский

Citations

0
Elevating Pakistan’s flood preparedness: a fuzzy multi-criteria decision making approach DOI Creative Commons
Zeshan Alam, Yousaf Ali, Dragan Pamučar

et al.

Financial Innovation, Journal Year: 2024, Volume and Issue: 10(1)

Published: Aug. 21, 2024

Abstract In South Asia, Pakistan has a long and deadly history of floods that cause losses to various infrastructures, lives, industries. This study aims identify the most appropriate flood risk mitigation strategies government should adopt. The assessment in this is based on certain criteria, which are analyzed using fuzzy full consistency method. Moreover, evaluated by weighted aggregated sum product (WASPAS) method, considering previously prioritized criteria. According results, lack governance , funding resources control infrastructure significant intensifying factors act as major criteria for assessing Pakistan. Adopting hard engineering (e.g., dams, reservoirs, river straightening dredging, embankments, relief channels) maintaining existing infrastructure, adopting soft (flood plain zoning, comprehensive assessment, sophisticated modeling) identified top three WASPAS highest weight (0.98) was assigned adoption mitigate risks. introduces novel dimension analyzing real-time impact unprecedented 2022 floods, during approximately one-third nation submerged. focus recent highly event enhances study’s relevance contributes unique perspective literature management. recommends prioritize effective mitigation. It also incorporate these national policy framework reduce future.

Language: Английский

Citations

2
Influence of political stability on the stock market returns and volatility: GARCH and EGARCH approach DOI Creative Commons
Wajid Alim, Naqib Ullah Khan,

Vince Wanhao Zhang

et al.

Financial Innovation, Journal Year: 2024, Volume and Issue: 10(1)

Published: Nov. 2, 2024

Abstract Political instability has increased drastically in Pakistan during the last few decades. This may intensify fear of investors and eventually affect investment decisions. Therefore, stock market’s reaction to political stability must be explored appropriate policy measures should prescribed. paper examines effect on market returns volatility using time series data from for period January 02, 2004, May 31, 2018. The study uses Generalized Autoregressive Conditional Heteroskedastic (GARCH) Exponential (EGARCH) models achieve main objectives. findings GARCH EGARCH confirm that a positive significant influence both Pakistan. In addition, indicate negative shock (political instability) creates more than stability). results this reveal financial are affected by instability. conclusion, suggests is an essential factor affecting volatility, it leads stable markets. It also emphasizes needs resolved

Language: Английский

Citations

2
Sürdürülebilir Kalkınmasının Sağlanabilmesi İçin İşletmelerin Karbon Ayak İzini Azaltıcı Stratejilerinin Belirlenmesi DOI
Serhat Yüksel, Hasan Dınçer, Begüm Özduman

et al.

Maruf İktisat İslâm İktisadı Araştırmaları Dergisi, Journal Year: 2024, Volume and Issue: 4(1), P. 4 - 15

Published: June 8, 2024

İşletmelerin karbon ayak izinin azaltılabilmesi için birçok strateji geliştirilebilir. Buna karşın, her bir iyileştirme maliyetlerin de artmasına sebebiyet vermektedir. Dolayısıyla, bu süreçte en fazla önem arz eden problemin tespit edilmesi gerekmektedir. Bu sayede, daha konulara yönelik etkin stratejilerin belirlenebilmesi mümkün olabilmektedir. durum da stratejiler düşük maliyetle uygulanabilmektedir. çalışmanın amacı işletmenin ve verimli belirlenmesidir. kapsamda, temel araştırma sorusu işletmelerin uygulaması gereken öncelikli stratejilerinin hangileri olduğunun edilmesidir. amaca ulaşabilmek 4 farklı kriter belirlenmiştir. kriterlerin ağırlıklarının hesaplanabilmesi DEMATEL yönteminden faydalanılmaktadır. Elde edilen analiz sonuçlarına göre enerji verimliliğinin sağlanması minimize edilmesinde kriterdir. Çalışanlara eğitim verilmesi sürdürülebilir tedarik zinciri yönetimi dikkate alınabilecek başka faktörlerdir. yenilenebilir kullanımı hususu ise diğer değişkenlere kıyasla çok ağırlığına sahiptir. sonuçlar alındığında, sağlanabilmesine göstermeleri azaltılmasında yüksek maliyetlere katlanılmadan geliştirilebilmesine olanak sağlamaktadır. Enerji ulaşılabilmesinde kritik role çerçevede, verimlilik sağlayacak makineler kullanılabilir bina yalıtımları iyi hale getirilebilir. Öte yandan, çevre dostu tedarikçiler ile çalışma sürece önemli derecede katkı sağlayabilir. Böylece, olabilir.

Citations

0
Financial ambiguity and oil prices DOI Creative Commons
Mahmoud A. Ayoub,

Mahmoud Qadan

Financial Innovation, Journal Year: 2024, Volume and Issue: 10(1)

Published: Aug. 10, 2024

Abstract Recent theoretical developments in economics distinguish between risk and ambiguity (Knightian uncertainty). Using state-of-the-art methods with intraday stock market data from February 1993 to 2021, we derive financial empirically examine the effect of shocks it on price volatility crude oil. We provide evidence that carries important information about future oil returns perceived by investors. validate these results using Granger causality in-sample out-of-sample forecasting tests. Our findings reveal is a possible factor explains drops prices their increased variability. will benefit scholars investors interested how shapes short-term prices.

Language: Английский

Citations

0
From CFOs to crypto: exploratory study unraveling factors in corporate adoption DOI Creative Commons
José Campino, Bruna Rodrigues

Financial Innovation, Journal Year: 2024, Volume and Issue: 10(1)

Published: Sept. 2, 2024

Abstract Cryptocurrency adoption has gained significant attention across various fields owing to its disruptive potential and associated challenges. However, companies' of cryptocurrencies remains relatively low. This study aims comprehensively examine the factors influencing cryptocurrency adoption, their interrelationships, relative importance. To achieve this objective, we employ a Decision-Making Trial Evaluation Laboratory (DEMATEL) approach coupled with network analysis tools. By adopting practical rather than purely theoretical one, our unique contribution lies in valuable insights derived from experienced Chief Financial Officers (CFOs) companies experience both traditional finance cryptocurrencies. Furthermore, blend analytical rigor industry expertise supports study's relevance, offering nuanced that are not only academically robust but also immediately applicable corporate landscape. Our findings highlight paramount importance safety transactions trust chosen platform for considering adoption. Additionally, criteria such as faster without geographical limitations, lower transaction fees, seamless integration existing systems, cost savings identified crucial drivers. Both DEMATEL reveal strong interconnections among criteria, emphasizing interdependence and, notably, reliance on transactional safety. causes effects indicates CFOs perceive company-led positively impact broader market.

Language: Английский

Citations

0
Robustifying and simplifying high-dimensional regression with applications to yearly stock return and telematics data DOI Creative Commons
Malvina Marchese, María Dolores Martínez‐Miranda, Jens Perch Nielsen

et al.

Financial Innovation, Journal Year: 2024, Volume and Issue: 10(1)

Published: Oct. 2, 2024

Abstract The availability of many variables with predictive power makes their selection in a regression context difficult. This study considers robust and understandable low-dimensional estimators as building blocks to improve overall by optimally combining these blocks. Our new algorithm is based on generalized cross-validation builds model step-by-step from simple mean more complex combinations. Empirical applications annual financial returns actuarial telematics data show its usefulness the insurance industries.

Language: Английский

Citations

0
The financial benefits of health engagement programs to life insurers DOI Creative Commons
Hae Kang Lee

Financial Innovation, Journal Year: 2024, Volume and Issue: 10(1)

Published: Nov. 1, 2024

Abstract Life insurance companies, as equity stakeholders in policyholders’ lives, have incentives to mitigate their health risks. I introduce a framework that enables life insurers evaluate the financial viability of developing and implementing engagement programs. By leveraging proprietary big database mortality information from large U.S. insurer, use machine learning techniques quantify benefits rational addiction model calculate costs associated with these The estimated net benefit available insurer smoking cessation program is USD 87 million aggregate including other chronic conditions 872 million. explore broader application this general policy context.

Language: Английский

Citations

0