Masterclass presentation: Fostering economic development thrrough entrepreneurship

Presentation by Prof Richard Harrison given at Trickle Out Master Class, held at the British Institute of East Africa in Nairobi, Kenya

Fabricating Economic Development

This paper is concerned with the institutions of Irish economics; it is structured around two arguments each of which links to the thesis presented in Garvin’s Preventing the future (2004). Overall it will be demonstrated that Irish economics was shaped by intellectual trends experienced within economic thought globally as well as the social considerations that were peculiar to Ireland. The evidence presented indicates that firstly while Economic Development mattered to the Irish economy it did not matter for the reasons that most writers have suggested it did. It is argued for instance that much of the literature, regardless of academic discipline, presents the publication of Economic Development in 1958 as analogous to a “big bang” event in the creation of modern Ireland. However, such a “big bang” perspective misrepresents the sophistication of economic debates prior to Whitaker’s report as well as distorting the interpretation of subsequent developments. The paper secondly, by drawing on the contents of contemporary academic journals, reappraises Irish economic thinking before and after the publication of Economic Development. It is argued that an economically “liberal” approach to Keynesianism, such as that favoured by TK Whitaker and George O’Brien, lost out in the 1960s to a more interventionist approach: only later did a more liberal approach to macroeconomic policy triumph. The rival approaches to academic economics were in turn linked to wider debates on the influence of religious authorities on Irish higher education. Academic economists were particularly concerned with preserving their intellectual independence and how a shift to planning would keep decisions on resource allocation out of the reach of conservative political and religious leaders.

Three essays in financial markets

A PhD Dissertation, presented as part of the requirements for the Degree of Doctor of Philosophy from the NOVA - School of Business and Economics

Noise traders, rational traders, and the rest: A new approach to efficient financial markets

A PhD Dissertation, presented as part of the requirements for the Degree of Doctor of Philosophy from the NOVA - School of Business and Economics

Three essays on the psychology of investment and financial markets

Préface My thesis consists of three essays where I consider equilibrium asset prices and investment strategies when the market is likely to experience crashes and possibly sharp windfalls. Although each part is written as an independent and self contained article, the papers share a common behavioral approach in representing investors preferences regarding to extremal returns. Investors utility is defined over their relative performance rather than over their final wealth position, a method first proposed by Markowitz (1952b) and by Kahneman and Tversky (1979), that I extend to incorporate preferences over extremal outcomes. With the failure of the traditional expected utility models in reproducing the observed stylized features of financial markets, the Prospect theory of Kahneman and Tversky (1979) offered the first significant alternative to the expected utility paradigm by considering that people focus on gains and losses rather than on final positions. Under this setting, Barberis, Huang, and Santos (2000) and McQueen and Vorkink (2004) were able to build a representative agent optimization model which solution reproduced some of the observed risk premium and excess volatility. The research in behavioral finance is relatively new and its potential still to explore. The three essays composing my thesis propose to use and extend this setting to study investors behavior and investment strategies in a market where crashes and sharp windfalls are likely to occur. In the first paper, the preferences of a representative agent, relative to time varying positive and negative extremal thresholds are modelled and estimated. A new utility function that conciliates between expected utility maximization and tail-related performance measures is proposed. The model estimation shows that the representative agent preferences reveals a significant level of crash aversion and lottery-pursuit. Assuming a single risky asset economy the proposed specification is able to reproduce some of the distributional features exhibited by financial return series. The second part proposes and illustrates a preference-based asset allocation model taking into account investors crash aversion. Using the skewed t distribution, optimal allocations are characterized as a resulting tradeoff between the distribution four moments. The specification highlights the preference for odd moments and the aversion for even moments. Qualitatively, optimal portfolios are analyzed in terms of firm characteristics and in a setting that reflects real-time asset allocation, a systematic over-performance is obtained compared to the aggregate stock market. Finally, in my third article, dynamic option-based investment strategies are derived and illustrated for investors presenting downside loss aversion. The problem is solved in closed form when the stock market exhibits stochastic volatility and jumps. The specification of downside loss averse utility functions allows corresponding terminal wealth profiles to be expressed as options on the stochastic discount factor contingent on the loss aversion level. Therefore dynamic strategies reduce to the replicating portfolio using exchange traded and well selected options, and the risky stock.

Jumps in the Volatility of Financial Markets.

Recent work suggests that the conditional variance of financial returns may exhibit sudden jumps. This paper extends a non-parametric procedure to detect discontinuities in otherwise continuous functions of a random variable developed by Delgado and Hidalgo (1996) to higher conditional moments, in particular the conditional variance. Simulation results show that the procedure provides reasonable estimates of the number and location of jumps. This procedure detects several jumps in the conditional variance of daily returns on the S&P 500 index.

The role of financial markets in the stabilization and reconstruction of Lebanon.

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