Worldwide, the emphasis on sustainability is fuelling fund flows into ESG investments. This review summarises a study of Korean fund investors’ sensitivity to past performance and volatility, exploring the differences between ESG and non-ESG funds.

This literature review summarises a recent paper on retail investors green investment choices and their motives. We also summarise the datasets available for investment managers who wish to track retail trading and investment activities across asset classes.

The daily closing price of equity options can affect the asset value of funds and their ability to cover potential losses. As such, it’s an important metric. However, there’s no reliable mechanism for establishing this price due to some of the peculiarities of options trading. This paper explores the possibility of using a machine learning model to improve end-of-day options pricing.

In an uncertain economic environment, monthly and quarterly statistics may not accurately capture rapidly changing macro conditions. In this literature review, we summarise a study that uses high-frequency data to construct an index that more accurately reflects economic activity in an uncertain climate.

Investors have been paying close attention to supply chain issues in China since the disruptions brought about by Covid-19. Despite the easing of pandemic-era restrictions, growing geopolitical tensions and China’s economic slowdown continue to attract investors’ attention. This paper examines the spillover effects of credit rating actions on supply chains in China.

The growth of ETF investments has coincided with the growing sensitivity of emerging market capital flows to global financial shocks. To date, the majority of studies on the subject have focused on the importance of ETFs relative to competitive instruments (e.g. mutual funds). However, only a few have examined the correlation between emerging market ETF flows and global financial shocks. We review a study that examines the role of ETFs in transmitting global financial conditions to emerging market economies.

As the risk of stagflation in Japan has risen, some funds have shown interest in estimating the results of Shunto – the wage negotiations between corporations and unions that take place every March. Several data vendors are preparing to offer products that capture significant changes to inflation and wages. This report reviews studies that use corporate financial, governmental and job listings data to monitor the Japanese labour market.

The full scope of ChatGPT’s application within the financial industry has yet to be realised. In this literature review, we review a 2023 paper assessing ChatGPT against other GPT models and other sentiment providers. This paper focuses on ChatGPT’s ability to predict stock returns using sentiment analysis.

Unlike their public markets counterparts, venture capital investors can be hindered by a lack of data to help inform investment processes. Several venture-oriented platforms have materialised to fill this void, providing numerous metrics with varying relevancy. We summarise a study that uses machine learning to identify the most relevant factors for early-stage venture capital investors.

Text is an underexploited data source for understanding asset markets. So far, academic research has studied only a tiny fraction of market-relevant text data and often focuses on a single specialised data source. As a result, text information is often represented in rudimentary ways. This report summarises a study that aims to improve stock-return prediction models by extracting contextualised representations of news text derived from large language models (LLMs).