What is he best known for?
The fields of study he is best known for:
His primary scientific interests are in Accounting, Stock market, Financial economics, Dividend and Earnings.
The concepts of his Accounting study are interwoven with issues in Environmental disclosure and Negative relationship.
His biological study spans a wide range of topics, including Financial market, Profit and Statistical hypothesis testing.
His Stock market study incorporates themes from Chief executive officer, Equity, Corporate governance and Share price.
His Financial economics study combines topics in areas such as Stock exchange and Interest rate.
As a member of one scientific family, David Power mostly works in the field of Dividend, focusing on Signalling and, on occasion, Capital market.
His most cited work include:
- Social and Environmental Disclosure and Corporate Characteristics: A Research Note and Extension (566 citations)
- Do financial markets care about social and environmental disclosure?: Further evidence and exploration from the UK (271 citations)
- Evaluating the performance of ethical and non-ethical funds: a matched pair analysis (261 citations)
What are the main themes of his work throughout his whole career to date?
Accounting, Financial economics, Stock market, Stock exchange and Equity are his primary areas of study.
His work deals with themes such as Corporate governance, Financial instrument and Finance, which intersect with Accounting.
The Financial economics study combines topics in areas such as Dividend, Econometrics, Emerging markets, Share price and Stock market bubble.
His Share price study combines topics from a wide range of disciplines, such as Earnings and Dividend policy.
The various areas that David Power examines in his Stock market study include Market share, Market share analysis and Monetary economics.
His Stock exchange study integrates concerns from other disciplines, such as Volatility and Order.
He most often published in these fields:
- Accounting (39.86%)
- Financial economics (25.68%)
- Stock market (16.22%)
What were the highlights of his more recent work (between 2014-2021)?
- Accounting (39.86%)
- Equity (16.22%)
- Stock exchange (16.22%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Accounting, Equity, Stock exchange, Volatility and Financial instrument.
He has included themes like Emerging markets, Actuarial science, Corporate governance and Sample in his Accounting study.
His study on Equity also encompasses disciplines like
- Present value which connect with Stock market index,
- Dividend and related Econometrics, Earnings and Order.
He combines subjects such as Economic history, Calendar effect, Financial economics, Market efficiency and Capital market with his study of Stock exchange.
His work carried out in the field of Volatility brings together such families of science as January effect, Stock market and Demographic economics.
His Financial instrument research is multidisciplinary, incorporating elements of Index and Public relations.
Between 2014 and 2021, his most popular works were:
- Islamic calendar anomalies: Evidence from Pakistani firm-level data (15 citations)
- The impact of IFRS 7 on the significance of financial instruments disclosure: Evidence from Jordan (10 citations)
- The relationship between South Asian stock returns and macroeconomic variables (10 citations)
In his most recent research, the most cited papers focused on:
David Power spends much of his time researching Accounting, Financial instrument, Actuarial science, Stock exchange and Financial economics.
His Accounting research incorporates elements of Social determinants of health and Shareholder.
His study focuses on the intersection of Financial instrument and fields such as Balance sheet with connections in the field of Index, Sample, Market value and Valuation.
The study incorporates disciplines such as Finance, Accountability and International accounting in addition to Actuarial science.
His Stock exchange research is multidisciplinary, incorporating elements of Efficient-market hypothesis, Trading rules, Monetary economics, Market efficiency and Capital market.
His Financial economics study combines topics in areas such as Heteroscedasticity, Stock market and Autoregressive model.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
