The CCFin blog

News and insights from CCFin

Households who have experienced higher house price growth in their county increase their consumption by about 6.3 to 7.3% than households who have experienced lower house price growth in their locality, all other things being equal. This effect corresponds to an increase in real annual spending of households by about $2,163 to $2,680 (2019 US dollars).

Do our personal experiences of local housing price growth influence our consumption decisions? Benjamin Appianin, Research Associate at Cambridge Centre for Finance (CCFin) and Cambridge Endowment for Research in Finance (CERF), helps answer this question by showing that households spend more (less) on nondurables and services when they have experienced higher (lower) house price growth in their locality.

Firms with organised labour produce higher-quality CSR reports. These reports are more likely to follow global frameworks (such as GRI or OECD), cover global operations, and be independently audited – characteristics that collectively indicate greater transparency and credibility.

Cambridge Judge Associate Professor and Cambridge Endowment for Research in Finance (CERF) Research Fellow Dr Jenny Chu looks at how labour unions influence the quality of corporate social responsibility (CSR) reporting, shedding light on the strategic role of non-financial disclosure in managing labour relations.

Group of people working on a project.

Explore our study on optimising decentralised public finance, focusing on efficient allocation of public goods across regions to enhance overall welfare.

The accelerating loss of biodiversity constitutes one of the most urgent challenges of the 21st century. Biodiversity is vanishing at an alarming rate, posing severe risks to both economic stability and human well-being.

Marwin Mönkemeyer, Research Associate at Cambridge Centre for Finance (CCFin) and Cambridge Endowment for Research in Finance (CERF), blogs about the capacity of institutional investors to address biodiversity risks through their investment practices.

smiling business woman.

Jaffe Greenwald, CERF post-doctoral researcher, develops a new measure for an equity mutual fund’s return performance. Jaffe finds that one in 4 mutual funds outperform a random risk-matched portfolio. In addition, mutual funds with a history of outperforming tend to maintain their outperformance.

People shacking hands and smiling in the office.

Explore the dynamics of the world of partnerships, highlighting their distinct features, tax structures, and the vital role they play in the business landscape, especially in professional fields.

Biologist looking at plants.

Explore the critical issue of biodiversity loss and its implications for human well-being, business operations, and economic prosperity in our comprehensive resource.

Woman in the office.

Narine Lalafaryan, CERF Fellow at Cambridge Judge Business School, blogs about the critical interplay between corporate finance and governance in today's volatile market. Understand the implications of recent financial crises and trends.

German flag.

Research centre news

Rent freeze

Sofie R Waltl, CERF Fellow at Cambridge Judge Business School, blogs about the implications of the Berlin Mietendeckel, a controversial rent freeze policy enacted in 2020 and swiftly overturned by the Constitutional Court.

Finance district chart.

Explore the impact of financial development on biodiversity loss in Italy and learn how social capital influences financial growth.

The strategic move of mergers and acquisitions (M&As) is often accompanied with resource reallocations, including both physical assets and human capital.

By analysing a sample of 803 public M&A deals spanning over 3 decades, CERF research associate Luxi (Lucy) Wang studies the impact of M&As on innovative labours by examining inventors’ turnovers and productivity changes.

Enhancing real estate investment trust return forecasts via machine learning.

Thies Lindenthal and Kahshin Leow cover the enhancing of real estate investment trust return forecasts by the use of machine learning.

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