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Bitcoin-friendly El Salvador can become ‘Singapore of the Americas’: VanEck advisor

VanEck strategy advisor Gabor Gurbacs expects a wave of new investment capital and immigration will push El Salvador’s economic growth in the coming years.

El Salvador can follow Singapore’s lead and become a financial center in the Americas, according to  Gabor Gurbacs, strategy advisor of investment management firm VanEck.

“I say often to portfolio managers and asset allocators that El Salvador has the potential to become the Singapore of the Americas,” Gurbacs explained in an Oct. 28 X post.

Similar to what Singapore achieved in the late 1900s, Gurbacs expects new capital investment and immigration will be the main drivers behind El Salvador’s increased economic growth over the next few years.

His comments follow an Oct. 28 post by United States broadcaster and Bitcoiner Max Keiser, which was captioned “Move to #ElSalvador, The New Land of the Free.”

Keiser, who now lives in El Salvador, listed Bitcoin (BTC) and the U.S. dollar's legal tender status, a clean up in El Salvadoran crime, great beaches and great coffee as some of the main reasons why the Central American country should be on everyone’s radar.

El Salvador’s status as an emerging economy became more prominent when Nayib Bukele was appointed as the country’s president in June 2019.

El Salvador’s sovereign bonds have outperformed many other emerging markets in 2023, yielding an eye-popping 70% return by August 2023 which caught the attention of JPMorgan, Eaton Vance and other investment management firms.

Bukele and the El Salvador government made Bitcoin legal tender in September 2021 in addition to rolling out a Bitcoin custodial wallet, Chivo Wallet for all El Salvadorans in the same week.

El Salvador is also tapping into its volcanic resources to power a Bitcoin mining operation startup, Volcano Energy, which launched in June on the back of a $1 billion investment. Keiser serves as the company’s executive chairman.

Its first mining pool was launched following a partnership with Bitcoin miners Luxor Technology in October.

Related: El Salvador’s Bitcoin strategy evolved with the bear market in 2022

El Salvador appointed Dr. Saifedean Ammous, the author of “The Bitcoin Standard” as an economic advisor to the National Bitcoin Office in May. The country plans to accumulate Bitcoin as a strategy to clean out its debt within the next five years.

Bukele also made a bold move to eliminate all taxes on technology innovations in April — which could entice more entrepreneurs and foreign capital to move into the country.

Magazine: What it’s actually like to use Bitcoin in El Salvador

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9 examples of artificial intelligence in finance

Discover how artificial intelligence is transforming the financial sector with nine examples of AI in finance.

Artificial Intelligence (AI) is transforming the financial sector, revolutionizing how banks, financial institutions and investors operate. Here are nine examples of AI in finance, and how they are changing the industry:

Fraud detection

AI algorithms can analyze transactions in real time, detect anomalies and patterns that may indicate fraudulent activities, and alert banks to take appropriate actions. An example of fraud detection using AI is PayPal’s fraud detection system. PayPal uses machine learning algorithms and rule-based systems to monitor real-time transactions, and identify potentially fraudulent activities.

The system examines data points like the user’s location, transaction history, and device information to identify abnormalities and patterns that can hint at fraudulent behavior. The technology can notify PayPal’s fraud investigation team about a possibly fraudulent transaction so that they can look into it further or block the transaction. The amount of fraudulent transactions on the network has dramatically decreased thanks to this AI-powered solution, making using PayPal safer and more secure.

Customer service

AI-powered chatbots can provide personalized financial advice, answer customer queries, and automate routine tasks like opening new accounts or updating customer information.

The chatbot “KAI” from Mastercard, which helps clients with account queries, transaction histories and expenditure tracking, is an example of how AI is being used in customer support. KAI uses machine learning algorithms and natural language processing to offer consumers tailored help and financial insights across a variety of channels, including SMS, WhatsApp, and Messenger.

Algorithmic trading

AI can accurately assess past and present market trends, spot patterns, and predict future prices. AI algorithms can also perform transactions in real time, using pre-programmed rules and conditions, optimizing investing strategies and maximizing returns.

Financial institutions and investors benefit significantly from this technology, which enables them to make data-driven decisions and maintain an advantage in the fiercely competitive world of trading.

Related: What are artificial intelligence (AI) crypto coins, and how do they work?

Risk management

By analyzing complex financial data, artificial intelligence can identify potential risks and forecast future scenarios, providing valuable insights that enable banks and other financial institutions to make well-informed decisions. 

An example of risk management using AI is BlackRock’s Aladdin platform. To analyze enormous volumes of financial data, spot risks and opportunities, and give investment managers real-time insights, the Aladdin platform combines AI and machine learning algorithms.

By examining elements like market volatility, credit risk, and liquidity risk, the platform assists investment managers in monitoring and managing risks. Investment managers may enhance their investment strategies and make data-driven decisions thanks to Aladdin’s risk management capabilities, which lower the risk of losses and boost returns.

Portfolio management

AI can analyze vast amounts of financial data and provide insights into investment trends, risks and opportunities, helping investors make informed decisions. An example of portfolio management using AI is Wealthfront, a robo-advisor that uses AI algorithms to manage investment portfolios for clients. 

To create customized investment portfolios for clients based on their goals, risk tolerance, and financial position, Wealthfront combines classic portfolio theory and AI. As market conditions and the client’s goals change, the platform automatically rebalances the portfolio while continuously monitoring its performance. Many investors find Wealthfront an appealing alternative because of its AI-powered portfolio management, which enables customized and optimal investing plans.

Credit scoring

AI algorithms can analyze credit histories, financial statements, and other data to provide accurate credit scores, enabling lenders to make better lending decisions. For instance, ZestFinance’s Zest Automated Machine Learning (ZAML) platform uses AI to analyze credit risk factors and provide more accurate credit scores, improving lending decisions and reducing the risk of default.

Personalized financial advice

AI-powered robo-advisors can provide personalized financial advice and investment strategies based on a client’s financial situation, goals and risk tolerance. For instance, Bank of America’s AI chatbot, Erica, can provide personalized financial advice, answer customer queries and automate routine tasks.

Insurance underwriting 

AI can analyze a range of data points, including demographic information, health records and driving history, to provide accurate insurance underwriting. For instance, to improve accuracy and lower fraud in the insurance market, Lemonade, an AI-powered insurtech company, employs AI algorithms to evaluate claims and underwrite insurance policies.

Related: A brief history of artificial intelligence

Regulatory compliance

AI can help financial institutions comply with complex regulations by analyzing transactions, detecting fraud, and ensuring compliance with Know Your Customer and Anti-Money Laundering regulations. 

For instance, ComplyAdvantage helps businesses comply with legal obligations and avoid fines by using AI and machine learning algorithms to monitor financial transactions and identify potential money laundering activities.

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Analysts Suspect Banking Crisis Triggered ‘Resting Bull Market’ in Gold, Silver Could Print Much Higher Gains

Analysts Suspect Banking Crisis Triggered ‘Resting Bull Market’ in Gold, Silver Could Print Much Higher GainsAt the start of the week, a troy ounce of .999 fine gold was trading at $1,813 per unit. Seven days later, gold rose 9.65% against the U.S. dollar to the current spot price of $1,988 per ounce. Gold’s rise comes at a time when confidence in the global banking system is at an all-time […]

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