Who Loses Most When Big Banks Suddenly Fail? Evidence from Silicon Valley Bank Collapse DOI
Xia Liu, William L. Megginson, Nhu Tran

et al.

Finance research letters, Journal Year: 2023, Volume and Issue: 59, P. 104806 - 104806

Published: Nov. 26, 2023

Language: Английский

Spillovers and multiscale relationships among cryptocurrencies: A portfolio implication using high frequency data DOI
Walid Mensi, Mobeen Ur Rehman, Xuan Vinh Vo

et al.

Economic Analysis and Policy, Journal Year: 2024, Volume and Issue: 82, P. 449 - 479

Published: March 24, 2024

Language: Английский

Citations

8

FinTech-powered integration: Navigating the static and dynamic connectedness between GCC equity markets and renewable energy cryptocurrencies DOI
Shoaib Ali, Muhammad Naveed,

Manel Youssef

et al.

Resources Policy, Journal Year: 2023, Volume and Issue: 89, P. 104591 - 104591

Published: Dec. 30, 2023

Language: Английский

Citations

14

Stablecoin: A Story of (In)Stabilities and Co-Movements Written Through Wavelet DOI Open Access
Rubens Moura de Carvalho, Helena Inácio, Rui Pedro Marques

et al.

Journal of risk and financial management, Journal Year: 2025, Volume and Issue: 18(1), P. 20 - 20

Published: Jan. 6, 2025

Stablecoins are crypto assets designed to maintain stable value by bridging fiat currencies and volatile assets. Our study extends previous research analyzing the instability co-movement of major stablecoins (USDT, USDC, DAI, TUSD) during significant economic events such as COVID-19 pandemic collapses Iron Finance, Terra-Luna, FTX, Silicon Valley Bank (SVB). We investigated temporal volatility dynamic connections between using wavelet techniques. results showed that announcement USDT’s listing on Coinbase in April 2021 significantly impacted stability stablecoins, evidenced a decline power spectrum. This phenomenon has not been explored literature. Furthermore, collapse SVB was highly relevant stablecoin market. observed high coherence pairs pandemic, listing, SVB. After USDT, DAI became more connected medium term, with USDC extending long term despite negative USDT others. highlights impact exchange listings implications for investors, regulators, cryptocurrency community, especially regarding safe integration these into financial system.

Language: Английский

Citations

0

Analyzing Financial Market Reactions to the Palestine-Israel Conflict: An Event Study Perspective DOI Creative Commons
Muhammad Shahzad Ijaz, Shoaib Ali, Min Du

et al.

International Review of Economics & Finance, Journal Year: 2025, Volume and Issue: unknown, P. 103864 - 103864

Published: Jan. 1, 2025

Language: Английский

Citations

0

Sailing Towards Sustainability: Connectedness between ESG stocks and Green Cryptocurrencies DOI Creative Commons
Samar S. Alharbi, Muhammad Naveed, Shoaib Ali

et al.

International Review of Economics & Finance, Journal Year: 2025, Volume and Issue: unknown, P. 103848 - 103848

Published: Jan. 1, 2025

Language: Английский

Citations

0

Lan toả rủi ro đuôi của thị trường tiền điện tử DOI

Hưng Ngô Thái,

An Nguyễn Khánh

Tạp chí Kinh tế và Phát triển, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Nghiên cứu được thực hiện nhằm mục tiêu đánh giá hiệu ứng lan truyền rủi ro đuôi giữa tám loại tiền điện tử (Bitcoin, Ethereum, Tether, Binance, USD Coin, XRP, Dogecoin và Cardano) trong giai đoạn 2018 – 2024. Để làm rõ vấn đề này, nghiên sử dụng mô hình tự hồi quy có điều kiện (Conditional Autoregressive Value-at-Risk: CAViaR) do Engle & Mangenelli (2004) xuất để ước tính trị bất đối xứng. Sau đó, chỉ số tỏa theo phân vị Chatziantoniou cộng sự (2021) xác định dưới các thị trường thay đổi (rủi cao, trung bình thấp). Kết quả tích nghiệm cho thấy đáng kể tại ảo cao. Ngoài ra, vai trò nhận của từng ràng cụ thể: (1) Trước COVID, (2) Trong COVID-19 (3) Chiến tranh Nga–Ukraine. là kênh thông tin quan trọng nhà đầu tư chính sách.

Citations

0

Kripto Para Birimleri Arasındaki Volatilite Yayılımının Analizi: Piyasa Değeri Yüksek Kripto Para Birimlerinden Kanıtlar DOI Creative Commons
Murat KAYA

Hitit Sosyal Bilimler Dergisi, Journal Year: 2025, Volume and Issue: 18(1), P. 18 - 38

Published: April 6, 2025

Kripto paralar 21. yüzyılın ilk çeyreğine damgasını vuran finansal varlıklardır. Finansal piyasalarda işlem görmeye başlamalarının ardından kısa süre içerisinde hacimlerinin artması ile çok sayıda yeni kripto para birimi üretilerek piyasada başlamıştır. paraların üretim süreçleri, fiziksel varlığa sahip olmamaları, merkeziyetsiz yapıları gibi geleneksel varlıklardan ayrılan özellikleri dikkat çekmiştir. Dikkat çeken bir diğer önemli ise şüphesiz birimlerinde yaşanan ciddi fiyat dalgalanmaları olmuştur. birimlerinin yaşamış oldukları bu piyasanın volatil yapısını ön plana çıkarmıştır. Bu nedenle varlıklar arasındaki volatilite yayılımın analiz edilmesi gerek yatırımcılar gerekse araştırmacılar açısından önem kazanmıştır. çalışmada piyasasında en yüksek piyasa değerine 4 yayılımı edilmiştir. Analizlerde BTC (Bitcoin), ETH (Ethereum), BNB (Binance Coin) ve SOL (Solano) için 13.07.2020 05.09.2024 tarihleri arasına ait günlük getiriler kullanılmış yayılımının analizi TVP-VAR modeli oluşturularak birimleri dinamik bağlantı incelenmiştir. Analiz bulgularından, volatilitelerindeki toplam bağlantının Covid-19 Pandemisi Bitcoin ETF’lerinin onaylanmasına ilişkin gelişmelerden etkilendiği dönemlerde artış gösterdiği tespit Ayrıca, gücünün olmadığı, birimlerinden BTC’nin dönemi yayıcısı, SOL’un alıcısı özellik bulgusu elde arasında yayıcısı olan değişkenler etki güçleri sıralandığında güçlü biriminin olduğu bunu takip ettiği belirlenmiştir. Diğer yandan SOL, volatiliteyi alan olurken, ikinci sıradadır. değişimin açıklanmasında öncelikle ilgili kendi geçmiş şoklarının etkili husus özellikle SOL’a şekilde yaymasıdır. Analize dahil edilen yayılım ilişkisinin olmaması, aynı portföyde bulundurulabilecekleri birbirlerine risk bulaştırıcı etkilerinin sınırlı olabileceği şeklinde değerlendirilebilir. Bunun yanı sıra BNB’nin olma özelliği dikkate alınarak portföylerin oluşturulması edilmesi, yatırım verimliliği taşıyacaktır. Benzer da alması, süreçlerinde gereken olarak

Citations

0

Tokens and cryptocurrencies: Evidence from asymmetric frequency connectedness approach DOI
Marouene Mbarek,

Badreddine Msolli

Research in International Business and Finance, Journal Year: 2025, Volume and Issue: unknown, P. 102884 - 102884

Published: April 1, 2025

Language: Английский

Citations

0

Mineral Metamorphosis: Tracing the static and dynamic nexus between minerals and global south markets DOI
Shoaib Ali, Muhammad Naveed, Nassar S. Al-Nassar

et al.

Resources Policy, Journal Year: 2024, Volume and Issue: 96, P. 105222 - 105222

Published: July 16, 2024

Language: Английский

Citations

3

Connectedness Between Gold-Backed Cryptocurrencies and the G7 Stock Market Indices During Global Crises: Evidence From the Quantile Vector Autoregression Approach DOI Creative Commons
Yasmine Snene Manzli, Ahmed Jeribi

Journal of Alternative Finance, Journal Year: 2024, Volume and Issue: 1(2), P. 131 - 157

Published: June 5, 2024

The recent global crises have heightened financial market instability, surging the need for diversification, hedging, and safe haven assets to mitigate stock risks. This study employs a Quantile Vector Autoregression (Q-VAR) approach analyze interconnectedness between gold-backed cryptocurrencies G7 indices during spanning from December 1, 2020, July 5, 2023. Our findings indicate robust association digital gold assets, with total connectedness index (TCI) of 58.64%. Remarkably, emerge as significant contributors fluctuations compared exerting influence ranging 24% 37%, thereby underscoring potential effective diversification strategies. Dynamic analysis indicates pivotal role DGX haven, alongside identifying NIKKEI net receiver. Furthermore, directional examination corroborates status receivers, reaffirming their safe-haven abilities. Intriguingly, an in-depth across quantiles validates symmetrical dynamic connectedness, predominantly functioning transmitters spillover. empirical underscore compelling in cryptocurrencies, offering valuable insights investors, policymakers, portfolio optimization turbulent conditions.

Language: Английский

Citations

2