Investment Appraisal Process
How an investment appraisal technique helps companies move in the right direction, regarding investment decisions.
These investment dissertation examples are student-contributed and cover how people and institutions allocate money under uncertainty, how markets process information, and why returns and risks vary over time. Students often focus on a specific asset class (equities, bonds, property, funds, crypto-linked products), a specific investor group (retail investors, pension savers, fund managers), or a particular market event, then test what actually explains behaviour and performance.
Common dissertation directions include risk and return, diversification and portfolio construction, and how investors react to news, earnings, sentiment, and macroeconomic changes such as inflation and interest rate moves. Many projects examine behavioural finance: overconfidence, herding, loss aversion, fear of missing out, and how social media and financial influencers affect decision-making. ESG and sustainable investing is also a frequent theme, including how investors interpret sustainability ratings, whether “green” funds deliver different risk profiles, and how disclosure quality affects trust. Students also research passive vs active strategies, the impact of fees and fund structures, performance persistence, and how market frictions (liquidity, transaction costs, taxation) change real returns. Data-led dissertations often use event studies, factor models, and time series analysis to test claims with evidence rather than anecdotes.
These examples can help you choose a focused investment question and see how students structure analysis, justify assumptions, and interpret results clearly.
How an investment appraisal technique helps companies move in the right direction, regarding investment decisions.
Methodology for a dissertation that looks at the impact of political risk on FDI decisions by multinational corporations (MNCs) by conducting documentary research.
The purpose of this research is to investigate the impact of political risk on foreign direct investment decisions (FDI) by multinational corporations (MNCs).
This dissertation looks at the impact of political risk on FDI decisions by multinational corporations (MNCs) by conducting documentary research.
The study emphasis is to represent the Nexus between FDI and Economic growth in Afghanistan. Moreover, it is believed to be one of the growing marketplaces on basis of crucial significance in Afghanistan.
Abstract
This study focuses on low risk investing strategy, namely betting against beta (BAB) strategy, to arbitrage low risk anomaly in China and Taiwan benchmark indices. This kind of market select
Introduction to a dissertation that aims to provide insight and knowledge into the decision-making processes of impact investors.
This chapter gives an overview of the relevant research and literature on impact investing with a focus on decision-making, as well as the importance of impact analysis and locates any gaps in researc
Through this thesis, I would like to focus on the analysis of the Foreign Direct Investments in general, talking about their characteristics and the different types of them that exist.
A thorough analysis of the cognitional and motivational factors that lead managers to make certain decisions seems of fundamental importance to understand internationalisation patterns.
The aim of this paper is to provide the readers with a basic understanding of the financial instrument Foreign Direct Investment (FDI), and the reason why Multinational Enterprises (MNEs) have been using it in the Mexican automotive industry.
A study on the application of the MFN treatment in the International investment dispute settlement procedure. This dissertation will start by introducing the MFN clause and its development in the investment treaties; then focus on the review of the relevant ICSID arbitration cases.
The aim of this project is to examine whether the decision of large UK companies looking to pursue a merger/acquisition strategy will affect shareholder value.

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