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98 results on '"Zhong, Angel"'

22. Banning debit card surcharges could save $500 million a year - if traders don't claw back the money in other ways.

Author

Zhong, Angel

Subjects
CREDIT card rewards programs, DEBIT cards, CREDIT card fees, PAYMENT, PAYMENT systems
Abstract

The federal government in Australia is considering banning businesses from imposing surcharges on debit card transactions, potentially saving consumers up to $500 million annually. The Reserve Bank of Australia is reviewing this proposal, which could also extend to credit card transaction fees, potentially saving up to $1 billion annually. While this move may benefit consumers, it could impact small businesses that already face higher card payment fees compared to larger merchants. The ban on debit card surcharges may lead businesses to find other ways to recover costs, such as raising prices or implementing new fees. [Extracted from the article]

Published
2024

32. What are 'good' and 'bad' debts, and which should I pay off first?

Author

Zhong, Angel

Subjects
DEBT, INTEREST rates, PERSONAL finance, REPAYMENTS, PAYDAY loans
Abstract

This article discusses the concept of "good" and "bad" debts and provides guidance on which debts to prioritize when paying them off. Good debts are those that help build a solid financial foundation, such as mortgages and student loans, while bad debts undermine financial stability, such as payday loans and credit card debt. The article suggests prioritizing high-interest debts, negotiating interest rates, and considering different repayment strategies. It emphasizes the importance of understanding the terms and conditions of each debt and developing a repayment plan. Overall, the article aims to help readers take charge of their financial future by understanding and managing their debts effectively. [Extracted from the article]

Published
2024

38. The spread of COVID-19 in stock returns along global value chains.

Author

Yu, Miao, Hu, Xiaolu, and Zhong, Angel

Subjects
COVID-19 pandemic, VALUE chains, SOCIAL distancing, INTERNATIONAL trade, GROUP of Twenty countries
Abstract

This paper examines the performance of industries in the trade network in international stock markets during the onset of COVID-19. In general, the value of all industries in G20 countries declines significantly in the pandemic. Stock returns of industries in the central positions of global value chains exhibit remarkable resilience despite the economic hardship caused by COVID-19. This pattern is more pronounced when the disruptions caused by social distancing requirements are considered. We postulate that this is related to the essential services provided by the central industries. [ABSTRACT FROM AUTHOR]

Published
2023
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47. Assessing the usefulness of daily and monthly asset‐pricing factors for Australian equities.

Author

Gray, Philip and Zhong, Angel

Subjects
RISK premiums, DATA mining, PARSIMONIOUS models, INFERENTIAL statistics, STOCKS (Finance), AUSTRALIANS, STOCK prices
Abstract

This paper considers which factors are worthy of inclusion in asset‐pricing models for Australian equity returns at daily and monthly frequencies. We utilise the recently developed methodology of Harvey and Liu (2020) to employ a performance metric specifically designed for model comparison and to conduct statistical inference that accommodates the possibility of data mining. The clear and consistent finding is that the market risk premium is the most important factor. This is the case for both daily and monthly asset‐pricing specifications, and irrespective of whether individual stocks or portfolios are used as test assets. There is no compelling evidence that any other factors are useful, implying that a parsimonious model suffices. [ABSTRACT FROM AUTHOR]

Published
2022
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