Some reflections on past and future of nonlinear dynamics in economics and finance

This paper offers an overview of the literature on the economic and financial applications of theory of nonlinear dynamics, especially bifurcation theory. After a short introductory discussion of the first nonlinear dynamic models in social sciences and the economic relevance of the zoo of bifurcations and complicated dynamics that such models can generate, we present an overview of the literature on nonlinear dynamic models in the areas of underdevelopment, environmental poverty traps, the management of common goods, industrial organization and financial markets. The review of the literature is enriched by reflections and ideas for future research.     

Systemic risk in Europe: deciphering leading measures,common patterns and real effects

The paper studies salient features of systemic risk in a sample of 22 European (EU and non-EU) countries during January 2010–March 2016. Building on a novel dataset and conducting an empirical horse race, we determine pivotal systemic risk measures for the sample countries. SRISK and volatility indicator tend to lead other metrics, followed by leverage. In contrast to the conventional wisdom, composite systemic risk measures aggregated with the aid of principal and independent component analysis perform worse. The leading systemic risk measures exhibit a high degree of connectedness. The VIX index, TED spread, the Composite Index of Systemic Stress (CISS) and long-term interest rates underlie their dynamics. Two clusters within the sample are identified, with CISS and long-term interest rates being crucial to distinguish between them. There is only scarce evidence for causal linkages between systemic risk and industrial production in the sample countries, based on the concurring results of standard and nonparametric Granger causality tests.     

The role of local embeddedness and non-local knowledge in entrepreneurial activity

The article investigates whether the history of individuals’ spatial relocation has an impact on their propensity to perform an entrepreneurial entry and post-entry performance of firms they start. By looking at entrepreneurs in the IT services sector in Swedish non-core regions between 1991 and 2010, the article investigates the interaction between individuals’ embeddedness in local networks and their exposure to external knowledge accumulation opportunities across different geographical settings, as well as its impact on their entrepreneurial activities. The results of the analysis suggest that individuals with broad spatial relocation histories are more likely to start IT firms in non-core regions, which, in turn, may be expected to survive longer. It is, therefore, claimed that non-local knowledge accumulated through spatial relocation is an important complement to embeddedness in local networks in non-core regions. This complementarity is further related to the evolution of the IT services sector over time.     

Benchmark-based evaluation of portfolio performance: a characterization

Benchmarking is a universal practice in portfolio management and is well-studied in the optimal portfolio selection literature. This paper derives axiomatic foundations of the relative return, which underlies a benchmark-based evaluation of portfolio performance. We show that the existence of a benchmark naturally arises from a few basic axioms and is tightly linked to the economic theory. Our method relies on the use of both axiomatic and economic approaches to index number theory. We also analyze the problem of optimal portfolio selection under complete uncertainty about a future price system, where the objective function is the relative return.     

Prizes and patents: Using market signals to provide incentives for innovations

We consider environments in which agents other than innovator receive the signals about the quality of innovation. We study whether mechanisms can be found which exploit market information to provide appropriate incentives for innovation. If such mechanisms are used, the innovator has incentives to manipulate market signals. We show that if an innovator cannot manipulate market signals, then the efficient levels of innovation can be uniquely implemented without deadweight losses – for example, by using prizes. Patents are necessary if the innovator can manipulate market signals. For an intermediate case of costly signal manipulation, both patents and prizes may be optimal.     

Watching out for regional separatism in the Russian far East: Ideological cueing of territorial security,economic incentives and cultural identity

Why has regional separatism failed to materialise in the post‐Soviet Russian Far East despite the region's remoteness from Russia's European heartland, its proximity to the Pacific Rim economies, the decline of economic support from Moscow, and a ‘frontier’ culture of resistance to Moscow's rule? Focusing on political developments in Primorskii Krai ‐ the key frontier province in the Russian Far East ‐ the study finds that territorial security, economic incentives, and cultural identity affect proclivities for regional separatism selectively, depending on ideological and institutional constraints in which centre‐periphery relations are embedded. In the absence of ideological commitments and enforceable institutional rales and norms, centre‐periphery conflicts devolve into economic bargaining and rule‐manipulation by elites for quick material gains. The changing ideological context amidst post‐Soviet institutional transition in Russia provide the most consistent explanation of conflict dynamic between Primorskii Krai's leaders and Moscow, of the non‐emergence of regional separatism, and of gross economic mismanagement of the province.     

Competition in bureaucracy and corruption

This paper studies the consequences of introducing competition between bureaucrats. Firms are supposed to invest into eliminating negative externalities of production, while bureaucrats administer the process by issuing licences. Some bureaucrats are corrupt, that is, they issue a licence to any firm in exchange for a bribe. The competition regime is found to create more ex ante incentives for firms to invest, while the monopoly regime is better at implementing ex post allocation, that is, distributing the licences given the firms' investment decisions. Additional results on the effect of punishments and bureaucrats' rotation are provided.     

Recurrent trade agreements and the value of external enforcement

This paper presents a theory of dynamic trade agreements in which external institutions, such as the WTO, play a central role in supporting credible enforcement. In our model, countries engage in ongoing negotiations, and, as a consequence, cooperative agreements become unsustainable in the absence of external enforcement institutions. By using mechanisms such as delays in dispute resolution and direct penalties, enforcement institutions can restore incentives for cooperation, despite the lack of coercive power. The occurrence of costly trade disputes, and the feasibility of mechanisms such as escape clauses, depend on the degree to which enforcement institutions can verify, and condition on, events that may lead to trade disputes.     

Optimal forecasts in the presence of structural breaks

This paper considers the problem of forecasting under continuous and discrete structural breaks and proposes weighting observations to obtain optimal forecasts in the MSFE sense. We derive optimal weights for one step ahead forecasts. Under continuous breaks, our approach largely recovers exponential smoothing weights. Under discrete breaks, we provide analytical expressions for optimal weights in models with a single regressor, and asymptotically valid weights for models with more than one regressor. It is shown that in these cases the optimal weight is the same across observations within a given regime and differs only across regimes. In practice, where information on structural breaks is uncertain, a forecasting procedure based on robust optimal weights is proposed. The relative performance of our proposed approach is investigated using Monte Carlo experiments and an empirical application to forecasting real GDP using the yield curve across nine industrial economies.