Managing Director, Zero One, Zero One

Vincent Fernando, CFA

Managing Director, Zero One

Zero One

Founded in 2015, Zero One produces independent investment research and provides corporate finance advisory services with a focus on both listed and private technology companies. Founder Vincent Fernando has over 20 years of experience in US and Asia capital markets.

Independent Investment Research

Equity Bottom-Up

TSMC (Taiwan Semiconductor Manufacturing) - ADR / Equity Bottom-Up

TSMC (Taiwan Semiconductor Manufacturing) - ADR

<ul>
<li>
TSMC’s Arizona fab hits Taiwan-level yields, easing replication concerns and reinforcing its global leadership across N2 and advanced packaging. </li>
<li>
AI demand offsets smartphone softness in 1Q25; TSMC guides +13% QoQ revenue for 2Q25 as margins hold firm despite tariff and earthquake headwinds. </li>
<li>
Faraday and UMC results ahead this week -- Key readouts on Taiwan’s ASIC, mature node, and design service momentum amid U.S.-China tech decoupling.</li>
</ul>



TSMC’s Arizona fab hits Taiwan-level yields, easing replication concerns and reinforcing its global leadership across N2 and advanced packaging. 

AI demand offsets smartphone softness in 1Q25; TSMC guides +13% QoQ revenue for 2Q25 as margins hold firm despite tariff and earthquake headwinds. 

Faraday and UMC results ahead this week -- Key readouts on Taiwan’s ASIC, mature node, and design service momentum amid U.S.-China tech decoupling.


Taiwan Tech Weekly: TSMC U.S. Bet Pays Off; UMC & Faraday Step Up Next; Latest Mobile Shipments Data

HarmoniQ Insights

William Mann

Independent Insight Provider

At HarmoniQ Insights, we empower investors to enhance their investment strategies by integrating cutting-edge quantitative research processes and technologies. Our solutions provide access to leading quantitative data providers and services, tailored to align with each client’s unique goals. By bridging the gap between traditional investment approaches and advanced data-driven methods, we help clients gain a competitive edge through innovation in both process and technology.

Cross Asset Strategy

<ul>
<li>A fascinating lunch discussion with LLM engineer sparked an investigation into how AI models process information through vector spaces - revealing parallel but mechanistically different biases compared to human analysts </li>
<li>Built comprehensive framework mapping traditional financial biases against their LLM counterparts - showing how things like confirmation bias manifest differently (emotional investment vs statistical pattern reinforcement)</li>
<li>Result: Effective quant research requires understanding both human AND machine biases - can't just apply traditional risk controls to LLMs. Need tailored mitigations for how biases uniquely manifest in #AI.  </li>
</ul>


A fascinating lunch discussion with LLM engineer sparked an investigation into how AI models process information through vector spaces - revealing parallel but mechanistically different biases compared to human analysts 
Built comprehensive framework mapping traditional financial biases against their LLM counterparts - showing how things like confirmation bias manifest differently (emotional investment vs statistical pattern reinforcement)
Result: Effective quant research requires understanding both human AND machine biases - can't just apply traditional risk controls to LLMs. Need tailored mitigations for how biases uniquely manifest in #AI.  


Understanding LLM Biases in Quantitative Research: From Lunch Conversation to Framework

<ul>
<li>A Comprehensive Guide to Building AI-Powered Investment Systems: The application of Large Language Models (LLMs) in quantitative finance, focusing on the current state of LLM technology in financial applications </li>
<li>I also cover: 1. Comparative analysis of leading models                2. Implementation frameworks for production systems 3. Risk management and quality control considerations </li>
<li>Key Findings: 1. Multi-model approaches outperform single-model solutions 2. Production implementation requires robust quality controls 3. Model selection should be task-specific within the investment process </li>
</ul>


A Comprehensive Guide to Building AI-Powered Investment Systems: The application of Large Language Models (LLMs) in quantitative finance, focusing on the current state of LLM technology in financial applications 
I also cover: 1. Comparative analysis of leading models                2. Implementation frameworks for production systems 3. Risk management and quality control considerations 
Key Findings: 1. Multi-model approaches outperform single-model solutions 2. Production implementation requires robust quality controls 3. Model selection should be task-specific within the investment process 


The LLM Quant Revolution: From ChatGPT to Wall Street

SGX Market Strategist, Equity & Fixed Income, Singapore Exchange Ltd (SGX)

Geoff Howie

SGX Market Strategist, Equity & Fixed Income

Asia’s leading multi-asset exchange

Singapore Exchange Ltd (SGX)

Singapore Exchange is Asia’s leading and trusted market infrastructure, facilitating the exchange of capital and ideas to create value for people, businesses and economies. As a multi-asset exchange operating equity, fixed income and derivatives markets to the highest regulatory standards, SGX is a vertically integrated business that provides listing, trading, clearing, settlement, depository and data services.

With about 40% of listed companies and over 80% of listed bonds originating outside of Singapore as well as established linkages across the region and in Europe, SGX is Asia’s most international and connected exchange. Offering a full suite of derivatives products across Asian equity indices, commodities and currencies, SGX is the world’s most liquid international market for the benchmark equity indices of China, India, Japan and ASEAN.

As Asia’s pioneering central counterparty, SGX is globally recognised for its risk management and clearing capabilities, and was one of the first globally to adopt the Principles for Financial Market Infrastructure.

Headquartered in AAA-rated Singapore, SGX has over 800 employees including offices in Beijing, Chicago, Hong Kong, London, New York, Mumbai, San Francisco, Shanghai and Tokyo.

Thematic (Sector/Industry)

<ul>
<li>Instead of buying software as a one-time purchase and installing it on a single device, SaaS allows users to access applications through the internet on a subscription basis. This has brought about greater convenience, flexibility, and potentially lower costs for users compared to traditional software.</li>
<li>The global SaaS market experienced a 20% growth in 2024 and is projected to expand at an annual growth rate of 12%, with the market potentially exceeding US$800 billion by 2030.</li>
<li>While North America remains the largest market, the Asia Pacific region is emerging as a key growth driver, with SaaS adoption expected to grow at a 15% CAGR by 2030, outpacing the global average</li>
</ul>


Instead of buying software as a one-time purchase and installing it on a single device, SaaS allows users to access applications through the internet on a subscription basis. This has brought about greater convenience, flexibility, and potentially lower costs for users compared to traditional software.
The global SaaS market experienced a 20% growth in 2024 and is projected to expand at an annual growth rate of 12%, with the market potentially exceeding US$800 billion by 2030.
While North America remains the largest market, the Asia Pacific region is emerging as a key growth driver, with SaaS adoption expected to grow at a 15% CAGR by 2030, outpacing the global average


Software-As-A-Service (SaaS): A Guide for Investors

Head of Research, IPOs & Placements, Aequitas Research

Sumeet Singh

Head of Research, IPOs & Placements

IPOs and Placements coverage across Asia Pacific

Aequitas Research

We cover all listing across the Asia Pacific along with follow-up placements. As of Dec 2020, our team had covered 539 IPOs with a hit rate of 73.5% and 685 placements with a hit rate of 66.8%.

We combine fundamental bottom-up views with our proprietary quantitative framework to provide a holistic coverage across new listings and placements. Our coverage includes pre-IPO notes before the deal is launched, follow-up analysis once the deal is live and post-listing trading analysis as well.

Equity Capital Markets

<ul>
<li>
<a href="https://www.smartkarma.com/entities/xiaomi-corp" target="_blank" data-smartkarma-citation="entities:24409:1" rel="noopener">Xiaomi Corp (1810 HK)</a> is looking to raise around US$5.3bn via selling 3% additional shares.</li>
<li>The shares have done exceedingly well this year and are now trading at their all time highs.</li>
<li>In this note, we will talk about the placement and run the deal through our ECM framework.</li>
</ul>



Xiaomi Corp (1810 HK) is looking to raise around US$5.3bn via selling 3% additional shares.
The shares have done exceedingly well this year and are now trading at their all time highs.
In this note, we will talk about the placement and run the deal through our ECM framework.


Xiaomi US$5.3bn Placement - Relatively Small, Strong Momentum but Is Expensive

United States

Alphabet, Inc. operates as a holding company. The Company, through its subsidiaries, provides web-based search, advertisements, maps, software applications, mobile operating systems, consumer content, enterprise solutions, commerce, and hardware products.

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Alphabet (GOOG US)

Taiwan Tech Weekly: TSMC U.S. Bet Pays Off; UMC & Faraday Step Up Next; Latest Mobile Shipments Data

TSMC's Arizona fab achieves Taiwan-level yields, reinforcing global leadership in N2 and advanced packaging, while AI demand offsets smartphone...

Vincent Fernando, CFA

Understanding LLM Biases in Quantitative Research: From Lunch Conversation to Framework

We are going to provide a full-blown update on LLMs through Q1 2025. In the meantime, we are still finding issues with 🤖 “Hallucinating on Drugs” –...

William Mann

The LLM Quant Revolution: From ChatGPT to Wall Street

Please see the AI Agent Podcast explanation of this paper here: https://youtu.be/11A2tremqm0?si=VUMm6WhWGEQRRkNU If you enjoy this podcast, please...

William Mann

Software-As-A-Service (SaaS): A Guide for Investors

Instead of buying software as a one-time purchase and installing it on a single device, SaaS allows users to access applications through the...

Singapore Exchange Ltd (SGX)

Xiaomi US$5.3bn Placement - Relatively Small, Strong Momentum but Is Expensive

Xiaomi Corp (1810 HK) is looking to raise around US$5.3bn via selling 3% additional shares. In this note, we run the deal through our ECM framework.

Sumeet Singh

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52-week Range

Market Cap (USDm)

P/E

Dividend (Yield)

Taiwan Tech Weekly: TSMC U.S. Bet Pays Off; UMC & Faraday Step Up Next; Latest Mobile Shipments Data

​TSMC's Arizona fab achieves Taiwan-level yields, reinforcing global leadership in N2 and advanced packaging, while AI demand offsets smartphone...

Vincent Fernando, CFA

Understanding LLM Biases in Quantitative Research: From Lunch Conversation to Framework

We are going to provide a full-blown update on LLMs through Q1 2025. In the meantime, we are still finding issues with 🤖 “Hallucinating on Drugs” –...

William Mann

The LLM Quant Revolution: From ChatGPT to Wall Street

Please see the AI Agent Podcast explanation of this paper here: https://youtu.be/11A2tremqm0?si=VUMm6WhWGEQRRkNU If you enjoy this podcast, please...

William Mann

Software-As-A-Service (SaaS): A Guide for Investors

Instead of buying software as a one-time purchase and installing it on a single device, SaaS allows users to access applications through the...

Singapore Exchange Ltd (SGX)

Xiaomi US$5.3bn Placement - Relatively Small, Strong Momentum but Is Expensive

Xiaomi Corp (1810 HK) is looking to raise around US$5.3bn via selling 3% additional shares. In this note, we run the deal through our ECM framework.

Sumeet Singh

TSMC's Arizona fab achieves Taiwan-level yields, reinforcing global leadership in N2 and advanced packaging, while AI demand offsets smartphone...