Results 11 to 20 of about 24,914 (97)
FACTORS AFFECTING BAD DEBT RATIO AT JOINT STOCK COMMERCIAL BANKS IN VIETNAM [PDF]
, 2022 This study analyzes factors affecting bad debt ratio at joint-stock commercial banks in Vietnam. The research collected data from reports of 26 Vietnamese joint-stock commercial banks operating continuously from 2010 to 2020.
Van Thao Tran
core +2 more sources
Ứng dụng mô hình Logit thứ bậc phân tích nguy cơ phá sản ngân hàng của các ngân hàng thương mại Việt Nam [PDF]
, 2023 Bài viết này phân tích nguy cơ phá sản ngân hàng bằng mô hình hồi quy logit thứ bậc với biến phụ thuộc là nguy cơ phá sản ngân hàng, được đo lường dựa trên hệ thống xếp hạng CAMELS của 22 Ngân Hàng Thương Mại (NHTM) Việt Nam trong giai đoạn 2006 - 2020 ...
Nguyễn Văn Thép +2 more
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CREDIT GROWTH OF VIETNAMESE COMMERCIAL BANKS IN THE CASE OF COVID-19 PANDEMIC [PDF]
, 2022 This study evaluates credit growth and analyzes factors affecting credit growth of Vietnamese commercial banks in the context of the Covid-19 pandemic. The study uses financial statement data from 25 Vietnamese commercial banks during the period from the
Quynh Xuan Pham
core +2 more sources
Geochemistry, Geophysics, Geosystems, Volume 24, Issue 6, June 2023., 2023 Abstract The Okavango Delta in North Botswana is a hot‐spot of biodiversity within the semi‐arid central part of the South African plateau. This endorheic ecosystem is highly dependent on the annual flood that brings freshwater from the highlands of Angola to the North.
M. Jolivet +10 more
wiley +1 more source
The relationship between capital adequacy ratio and profitability of commercial banks in Vietnam [PDF]
, 2023 In the context of economic fluctuations, banks’ good performance in maintaining capital adequacy levels by international standards following the circular issued by the State Bank not only helps the banks themselves develop sustainably but also ...
Lưu Tiến Thuận +1 more
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Advanced Science, Volume 10, Issue 14, May 17, 2023., 2023 The ultrasoft, multichannel, biodegradable OECT‐based neural interfaces are developed, which not only monitor the μ‐ECoG signals in high fidelity, but also autonomous degradation without any trigger events. Arrays with 100 channels, temporal/spatial resolution of 1.42 ms and 20 µm, and great signal‐to‐noise ratio of 37 dB, are achieved, demonstrating a
Mengge Wu +18 more
wiley +1 more source
Discrete Dynamics in Nature and Society, Volume 2023, Issue 1, 2023., 2023 In the context of the gradual intensification of the Russia‐Ukraine conflict and the continuous spread of the COVID‐19 pandemic, this paper concentrates on the impact of global extreme events such as the COVID‐19 pandemic and the Russia‐Ukraine conflict on the risk spillovers among major international financial markets.
Yao Xiao +6 more
wiley +1 more source
ChemCatChem, Volume 14, Issue 24, December 20, 2022., 2022 Au‐catalyzed Overman Rearrangement: Exhibiting spatial control over reactivity patterns is particularly challenging in gold catalysis. Herein, we explore how a small variation in the ligand of a (NNN)Au−Cl complex results in a drastic change in yield when applied as catalysts for an Overman rearrangement.
Silène Engbers +5 more
wiley +1 more source
Data‐driven storage operations: Cross‐commodity backtest and structured policies
Production and Operations Management, Volume 31, Issue 6, Page 2438-2456, June 2022., 2022 Abstract Storage assets are critical for physical trading of commodities under volatile prices. State‐of‐the‐art methods for managing storage facilities such as the reoptimization heuristic (RH), which are part of commercial software, approximate a Markov Decision Process (MDP) assuming full information regarding the state and the stochastic commodity ...
Christian Mandl +3 more
wiley +1 more source
The Empirical Analysis of Bitcoin Price Prediction Based on Deep Learning Integration Method
Computational Intelligence and Neuroscience, Volume 2022, Issue 1, 2022., 2022 As a new type of electronic currency, bitcoin is more and more recognized and sought after by people, but its price fluctuation is more intense, the market has certain risks, and the price is difficult to be accurately predicted. The main purpose of this study is to use a deep learning integration method (SDAE‐B) to predict the price of bitcoin.
Shengao Zhang +3 more
wiley +1 more source