Tho Pham

• PhD
• Lecturer at University of Reading

We develop a deep learning model to detect emotions embedded in press conferences after the Federal Open Market Committee meetings and examine the influence of the detected emotions on financial markets. We find that, after controlling for the Federal Reserve’s actions and the sentiment in policy texts, a positive tone in the voices of Federal Rese...

Using a novel dataset of Ukrainian banks, this paper examines the link between the structure of branch network and bank lending. Bank regional branches are categorized into contact points without loan decision-making authority and more independent delegated branches which can make loan decisions. We find that a large and dispersed network of contac...

This study examines the impacts of quality of working environment and its components on corporate financial distress. Employing a unique dataset of firm-level data from 41 countries over the period of 2012–2018, we find that a better working environment is related to a higher level of financial soundness. Particularly, firms which have better train...

This paper examines the relationship between labour market conditions and wage dynamics by exploiting a unique dataset of more than one million online job vacancies. We find a weak trade-off between aggregate wage inflation and unemployment. This link becomes more evident when the wage inflation is disaggregated at the sectoral and occupational lev...

This paper studies information diffusion in social media and the potential role of bots in influencing public opinions. Using Twitter data on the 2016 E.U. Referendum (“Brexit”) and the 2016 U.S. Presidential Election, we find that diffusion of information on Twitter is largely complete within 1-2 hours. Stronger diffusion between agents with simil...

Focusing on the current geopolitical conflict in Eastern Ukraine, this paper examines the economic impact of military intervention on the banking sector and the contagion which is triggered by this type of negative shock. Our study reveals that banks which issued more loans within conflict areas during the pre‐conflict period were subsequently left...

This study examines the presence of mispricing on Bondora, a leading European peer-to-peer lending platform, over the 2016–2019 period. By implementing machine learning methods, we measure the likelihood of success for loan resale on Bondora's secondary market and compare our predictions with the ex-post market outcomes. The differences observed un...

This study contributes to the existing literature on the impact of conference presentations on career progression by quantifying the predictive power of conferences for publication success. Examining outcomes for more than 4,000 papers presented at three leading economics conferences over the 2006-2012 period, we find a positive link between confer...

This article examines financial dollarization in Turkish banking sector during the 2002 Q4 – 2018 Q4 period. We find significant currency mismatch in banks’ balance sheets: banks happen to transfer less than 30% of their foreign denominated deposits into foreign denominated credit. In addition, banks with greater currency imbalance are more likely...

This paper examines the impact of multimarket competition on bank performance. Exploiting a unique data set of Ukrainian banks’ branch locations, we construct three measures of multimarket contacts and find their positive effects on profitability. This finding supports the mutual forbearance hypothesis: the higher number of overlapped markets incre...

This study investigates the association between financial development and entrepreneurs’ well-being in China, Ukraine, and Russia. We find that Chinese and Russian entrepreneurs have a higher level of well-being, while Ukrainian self-employed individuals have more dissatisfaction. The link between financial development and the utility of entreprene...

This paper examines the relationship among gender, social capital, and access to finance of micro, small, and medium enterprises in the manufacturing sector in Viet Nam. Our dataset is from the 2011, 2013, and 2015 results of the Micro, Small, and Medium Enterprise Survey in Viet Nam. Using the Heckman technique to control for sample selection bias...