Juan Martinez Alvarez

The persistent financing gap for Small and Medium Enterprises (SMEs) remains a major constraint on economic development in emerging markets, particularly in Latin America and the Caribbean (LAC). T...

Cryptocurrencies have rapidly gained traction in financial markets, attracting a diverse range of investors, including corporate entities. This study evaluates the profitability of four widely used technical indicators—Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), Momentum, and Stochastic Oscillator—by ana*lyzing historical data from 16 leading cryptocurrencies between 2014 and 2021. The primary aim is to provide actionable insights and strategic recommendations for corporate investment decision-making. To this end, we propose a novel advanced investment algorithm, defined as a systematic trading framework that dynamically integrates multiple indicators to optimize entry and exit decisions. The algorithm explicitly accounts for trading platform fees and liquidity constraints—understood as the limited ability to execute large-volume trades without significantly affecting market prices—to ensure robust applicability in high-volume corporate trading environments. The results highlight the economic implications and strategic advantages of these technical indicators for the development of effective corporate trading strategies. Our findings suggest that momentum-based strategies can yield significant returns, particularly during periods of high volatility, while underscoring the importance of transaction costs and recommending subscription-based trading platforms as a means of minimizing fees.

The role of Development Finance Institutions (DFIs) in achieving the Sustainable Development Goals (SDGs) is a topic of growing scholarly importance. While existing literature has mapped the thematic scope of this field, a critical diagnosis of its intellectual structure and inherent biases is missing. This study addresses that gap by using a bibliometric analysis of 271 articles from the Web of Science database not simply to describe the literature, but to critically evaluate its structure and identify its foundational weaknesses. Our analysis reveals a field characterized by a significant measurement–impact gap, a disconnection between research focused on DFI financial mechanisms and studies evaluating their ultimate development outcomes. We find this gap is driven by structural factors, including a thematic skew towards health (SDG 3) influenced by high‐impact external studies and a scarcity of technical research due to data access constraints. By diagnosing these structural limitations, this paper provides the first critical synthesis of the DFI–SDG literature and proposes a targeted research agenda designed to bridge the gap between analysing financial instruments and measuring their real‐world impact.