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In this paper we analyze the semantics of a higher-order functional language with concurrent threads, monadic IO and synchronizing variables as in Concurrent Haskell. To assure declarativeness of concurrent programming we extend the language by implicit, monadic, and concurrent futures. As semantic model we introduce and analyze the process calculus CHF, which represents a typed core language of Concurrent Haskell extended by concurrent futures. Evaluation in CHF is defined by a small-step reduction relation. Using contextual equivalence based on may- and should-convergence as program equivalence, we show that various transformations preserve program equivalence. We establish a context lemma easing those correctness proofs. An important result is that call-by-need and call-by-name evaluation are equivalent in CHF, since they induce the same program equivalence. Finally we show that the monad laws hold in CHF under mild restrictions on Haskell’s seq-operator, which for instance justifies the use of the do-notation.
The emergence of Capitalism is said to always lead to extreme changes in the structure of a society. This view implies that Capitalism is a universal and unique concept that needs an explicit institutional framework and should not discriminate between a German or US Capitalism. In contrast, this work argues that the ‘ideal type’ of Capitalism in a Weberian sense does not exist. It will be demonstrated that Capitalism is not a concept that shapes a uniform institutional framework within every society, constructing a specific economic system. Rather, depending on the institutional environment - family structures in particular - different forms of Capitalism arise. To exemplify this, the networking (Guanxi) Capitalism of contemporary China will be presented, where social institutions known from the past were reinforced for successful development. It will be argued that especially the change, destruction and creation of family and kinship structures are key factors that determined the further development and success of the Chinese economy and the type of Capitalism arising there. In contrast to Weber, it will be argued that Capitalism not necessarily leads to a process of destruction of traditional structures and to large-scale enterprises under rational, bureaucratic management, without leaving space for socio-cultural structures like family businesses. The flexible global production increasingly favours small business production over larger corporations. Small Chinese family firms are able to respond to rapidly changing market conditions and motivate maximum efforts for modest pay. The structure of the Chinese family proved to be very persistent over time and to be able to accommodate diverse economic and political environments while maintaining its core identity. This implies that Chinese Capitalism may be an entirely new economic system, based on Guanxi and the family.
This paper proposes a new approach for modeling investor fear after rare disasters. The key element is to take into account that investors’ information about fundamentals driving rare downward jumps in the dividend process is not perfect. Bayesian learning implies that beliefs about the likelihood of rare disasters drop to a much more pessimistic level once a disaster has occurred. Such a shift in beliefs can trigger massive declines in price-dividend ratios. Pessimistic beliefs persist for some time. Thus, belief dynamics are a source of apparent excess volatility relative to a rational expectations benchmark. Due to the low frequency of disasters, even an infinitely-lived investor will remain uncertain about the exact probability. Our analysis is conducted in continuous time and offers closed-form solutions for asset prices. We distinguish between rational and adaptive Bayesian learning. Rational learners account for the possibility of future changes in beliefs in determining their demand for risky assets, while adaptive learners take beliefs as given. Thus, risky assets tend to be lower-valued and price-dividend ratios vary less under adaptive versus rational learning for identical priors. Keywords: beliefs, Bayesian learning, controlled diffusions and jump processes, learning about jumps, adaptive learning, rational learning. JEL classification: D83, G11, C11, D91, E21, D81, C61
If there is one thing to be learned from David Foster Wallace, it is that cultural transmission is a tricky game. This was a problem Wallace confronted as a literary professional, a university-based writer during what Mark McGurl has called the Program Era. But it was also a philosophical issue he grappled with on a deep level as he struggled to combat his own loneliness through writing. This fundamental concern with literature as a social, collaborative enterprise has also gained some popularity among scholars of contemporary American literature, particularly McGurl and James English: both critics explore the rules by which prestige or cultural distinction is awarded to authors (English; McGurl). Their approach requires a certain amount of empirical work, since these claims move beyond the individual experience of the text into forms of collective reading and cultural exchange influenced by social class, geographical location, education, ethnicity, and other factors. Yet McGurl and English's groundbreaking work is limited by the very forms of exclusivity they analyze: the protective bubble of creative writing programs in the academy and the elite economy of prestige surrounding literary prizes, respectively. To really study the problem of cultural transmission, we need to look beyond the symbolic markets of prestige to the real market, the site of mass literary consumption, where authors succeed or fail based on their ability to speak to that most diverse and complicated of readerships: the general public. Unless we study what I call the social lives of books, we make the mistake of keeping literature in the same ascetic laboratory that Wallace tried to break out of with his intense authorial focus on popular culture, mass media, and everyday life.
The article discusses the methodology adopted for a cross-linguistic synchronic and diachronic corpus study on indefinites. The study covered five indefinite expressions, each in a different language. The main goal of the study was to verify the distribution of these indefinites synchronically and to attest their historical development. The methodology we used is a form of functional labeling which combines both context (syntax) and meaning (semantics) using as a starting point Haspelmath’s (1997) functional map. In the article we identify Haspelmath’s functions with logico-semantic interpretations and propose a binary branching decision tree assigning each instance of an indefinite exactly one function in the map.
Depending on the point of time and location, insurance companies are subject to different forms of solvency regulation. In modern regulation regimes, such as the future standard Solvency II in the EU, insurance pricing is liberalized and risk-based capital requirements will be introduced. In many economies in Asia and Latin America, on the other hand, supervisors require the prior approval of policy conditions and insurance premiums, but do not conduct risk-based capital regulation. This paper compares the outcome of insurance rate regulation and risk-based capital requirements by deriving stock insurers’ best responses. It turns out that binding price floors affect insurers’ optimal capital structures and induce them to choose higher safety levels. Risk-based capital requirements are a more efficient instrument of solvency regulation and allow for lower insurance premiums, but may come at the cost of investment efforts into adequate risk monitoring systems. The paper derives threshold values for regulator’s investments into risk-based capital regulation and provides starting points for designing a welfare-enhancing insurance regulation scheme.
Depending on the point of time and location, insurance companies are subject to different forms of solvency regulation. In modern regulation regimes, such as the future standard Solvency II in the EU, insurance pricing is liberalized and risk-based capital requirements will be introduced. In many economies in Asia and Latin America, on the other hand, supervisors require the prior approval of policy conditions and insurance premiums, but do not conduct risk-based capital regulation. This paper compares the outcome of insurance rate regulation and riskbased capital requirements by deriving stock insurers’ best responses. It turns out that binding price floors affect insurers’ optimal capital structures and induce them to choose higher safety levels. Risk-based capital requirements are a more efficient instrument of solvency regulation and allow for lower insurance premiums, but may come at the cost of investment efforts into adequate risk monitoring systems. The paper derives threshold values for regulator’s investments into risk-based capital regulation and provides starting points for designing a welfare-enhancing insurance regulation scheme.
Capturing the zero: a new class of zero-augmented distributions and multiplicative error processes
(2011)
We propose a novel approach to model serially dependent positive-valued variables which realize a non-trivial proportion of zero outcomes. This is a typical phenomenon in financial time series observed at high frequencies, such as cumulated trading volumes. We introduce a flexible point-mass mixture distribution and develop a semiparametric specification test explicitly tailored for such distributions. Moreover, we propose a new type of multiplicative error model (MEM) based on a zero-augmented distribution, which incorporates an autoregressive binary choice component and thus captures the (potentially different) dynamics of both zero occurrences and of strictly positive realizations. Applying the proposed model to high-frequency cumulated trading volumes of both liquid and illiquid NYSE stocks, we show that the model captures the dynamic and distributional properties of the data well and is able to correctly predict future distributions.
Correctness of program transformations in extended lambda calculi with a contextual semantics is usually based on reasoning about the operational semantics which is a rewrite semantics. A successful approach to proving correctness is the combination of a context lemma with the computation of overlaps between program transformations and the reduction rules.The method is similar to the computation of critical pairs for the completion of term rewriting systems. We describe an effective unification algorithm to determine all overlaps of transformations with reduction rules for the lambda calculus LR which comprises a recursive let-expressions, constructor applications, case expressions and a seq construct for strict evaluation. The unification algorithm employs many-sorted terms, the equational theory of left-commutativity modeling multi-sets, context variables of different kinds and a mechanism for compactly representing binding chains in recursive let-expressions. As a result the algorithm computes a finite set of overlappings for the reduction rules of the calculus LR that serve as a starting point to the automatization of the analysis of program transformations.
This paper analyzes the emergence of systemic risk in a network model of interconnected bank balance sheets. Given a shock to asset values of one or several banks, systemic risk in the form of multiple bank defaults depends on the strength of balance sheets and asset market liquidity. The price of bank assets on the secondary market is endogenous in the model, thereby relating funding liquidity to expected solvency - an important stylized fact of banking crises. Based on the concept of a system value at risk, Shapley values are used to define the systemic risk charge levied upon individual banks. Using a parallelized simulated annealing algorithm the properties of an optimal charge are derived. Among other things we find that there is not necessarily a correspondence between a bank's contribution to systemic risk - which determines its risk charge - and the capital that is optimally injected into it to make the financial system more resilient to systemic risk. The analysis has policy implications for the design of optimal bank levies. JEL Classification: G01, G18, G33 Keywords: Systemic Risk, Systemic Risk Charge, Systemic Risk Fund, Macroprudential Supervision, Shapley Value, Financial Network