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ALLSTAT  May 2023

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Subject:

Talk tomorrow! RSS Finance & Economics Section: Modelling the success of crowdfunding

From:

"[log in to unmask]" <[log in to unmask]>

Reply-To:

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Date:

Wed, 24 May 2023 02:57:18 +0000

Content-Type:

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text/plain (43 lines)

Dear all,

RSS Finance & Economics Section organised event 'Modelling the success of crowdfunding' will be tomorrow!

Please join us online. There is another event hold in June 'On the Statistics of Deposit Insurance'.

Time: 12:00-13:00 25th May (Thursday)
Type: Online: https://rss.org.uk/training-events/events/events-2023/sections/modelling-the-success-of-crowdfunding-(1)/#fulleventinfo
Speaker: Dr Hui Li
Title: Modelling the success of crowdfunding

Abstract:
Our paper explores factors that influence financing proportions for crowdfunding projects by modifying various regression models. Our findings demonstrate that offering various types of rewards, such as interview opportunities and product incentives, can increase the likelihood of achieving higher financing proportions. Furthermore, we introduce two tree-based regression models, the Hybrid Tree-based Linear Regression (HTLR) and the Hybrid Forest-based Linear Regression (HFLR), which outperform the traditional linear regression model in both explanatory and predictive power. We attribute this to the inclusion of nonlinear terms and the ability to handle outliers. Our results show that the HFLR model is superior to the HTLR model when an appropriate loop termination condition is applied, due to its ability to combine results from multiple decision trees and account for joint effects of factors.

About Dr Hui Li:
Dr Li is a Reader in Applied Statistics and Econometrics at the School of Mathematics at the University of Birmingham. She earned her PhD in Economics and Econometrics from the University of New Mexico in the USA in 2003. Before joining the University of Birmingham, she held positions as a Senior Statistician at the New Mexico State Government and an Associate Professor at Eastern Illinois University in the USA.
Dr. Li's research focuses on statistical modelling and has made significant contributions to the fields of health care and medical sciences, environmetrics, and finance. Her research in health care and clinical studies involves developing statistical models to analyse clinical trials and longitudinal studies. Her research in finance focuses on time-series modelling of financial market volatility, and her work in environmetrics includes cost and benefit analysis in policy evaluations.

Time: 17:00-18:00 22nd June (Thursday)
Type: Online: https://rss.org.uk/training-events/events/events-2023/sections/on-the-statistics-of-deposit-insurance/#fulleventinfo
Speaker: Ryan Defina
Title: On the Statistics of Deposit Insurance

Abstract:
Recent disruptions to the global financial system have merely underscored the importance of a well-coordinated financial sector safety net.  Deposit insurance is a fundamental tool to protect depositors and contribute to financial stability.  The International Association of Deposit Insurers (IADI) was formed in May 2002 to enhance the effectiveness of deposit insurance systems by promoting guidance and international cooperation. Throughout we explore key metrics for appraising the effectiveness of deposit insurance systems and provide a snapshot of the current landscape.

About Ryan Defina:
Ryan Defina has been working out of the Switzerland-based International Association of Deposit Insurers (IADI) since July 2018.  He is a senior researcher with a focus on pertinent issues relating to deposit insurance and financial stability, contributing to numerous IADI publications.  He also leads the statistics and reporting function within IADI.  Previously, Ryan was a central banker at the Reserve Bank of Australia and a statistical methodologist at the Australian Bureau of Statistics.  Beyond his day-to-day activities, Ryan is chair of the Royal Statistical Society's Finance and Economics Section.

The RSS Finance and Economics Section is looking for new committee members. The RSS Finance and Economics Section is newly established following a successful three years of operating as a special interest group.  We are pleased to be able to contribute to the RSS strategic goals and offer a further conduit for the promotion of statistical literacy and expertise.  Our group seeks to foster and develop working relationships between statisticians, economists and other professionals in finance, economics, actuarial and related commercial and policy areas.  We have 6-8 online committee meetings per year to organise seminars/workshops and other events each year.

If you are interested in becoming a committee member, please email Dr Jia Shao at [log in to unmask]<mailto:[log in to unmask]>

Best regards
Dr Jia Shao
University of Birmingham

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