Работы, цитирующие эту работу

Работ: 5

Работа: Examining the efficiency and herding behavior of commodity markets using multifractal detrended fluctuation analysis. Empirical evidence from energy, agriculture, and metal markets

1. Are clean energy markets efficient? A multifractal scaling and herding behavior analysis of clean and renewable energy markets before and during the COVID19 pandemic

   Bilal Ahmed Memon, Faheem Aslam, Шахноза Асадова +1

   СтатьяComplex Systems and Time Series AnalysisHeliyon2023Цитирований: 1

   ABIABI:AkademIndex/openalex/2023.article.000632

2. Financial Modelling System Using Deep Neural Networks (DNNs) for Financial Risk Assessments

   Hafiz Muhammad Naveed, Pan Yanchun, Bilal Ahmed Memon +2

   СтатьяStock Market Forecasting MethodsInternational Social Science Journal2024Цитирований: 1

   ABIABI:AkademIndex/openalex/2024.article.001120

3. Forecasting Gold and Platinum prices with an enhanced GRU model using multi-headed attention and skip connection

   Bilal Ahmed Memon, Rabia Tahir, Hafiz Muhammad Naveed +1

   СтатьяStock Market Forecasting MethodsMineral Economics2025Цитирований: 1

   ABIABI:AkademIndex/openalex/2025.article.000902

4. Influence of the Russia–Ukraine War and COVID-19 Pandemic on the Efficiency and Herding Behavior of Stock Markets: Evidence from G20 Nations

   Bilal Ahmed Memon, Faheem Aslam, Hafiz Muhammad Naveed +2

   СтатьяComplex Systems and Time Series AnalysisEconomies2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000659

5. Do Financial Markets and Safe-Haven Assets Affect CBDCs? Examining the Nexus between CBDC, Stock Index, Metal Commodity Futures, Oil Price, and Volatility

   Bilal Ahmed Memon, Gulhayo Nusratova

   СтатьяMarket Dynamics and VolatilityJournal of Central Banking Theory and Practice2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.003075