Inflation,Monetary Policy and Reserve Requirement Ratio Adjustments in China

This study examines the relationship between inflation rate and reserve requirement ratio in China. Our findings show that there is a long-term relationship between reserve requirement ratio and inflation rate. In the short-run, the central bank adjusts the reserve requirement ratio upwards faster than they adjust them downwards. The asymmetric adjustment reflects the fact the Chinese economy was overheating over the past few years as a result of the stimulus package implemented after the onset of the global financial crisis and inflation was threatening the stability of the society.     

Stock market volatility and equity returns: Evidence from a two-state Markov-switching model with regressors

This paper proposes a two-state Markov-switching model for stock market returns in which the state-dependent expected returns, their variance and associated regime-switching dynamics are allowed to respond to market information. More specifically, we apply this model to examine the explanatory and predictive power of price range and trading volume for return volatility. Our findings indicate that a negative relation between equity market returns and volatility prevails even after having controlled for the time-varying determinants of conditional volatility within each regime. We also find an asymmetry in the effect of price range on intra- and inter-regime return volatility. While price range has a stronger effect in the high volatility state, it appears to significantly affect only the transition probabilities when the stock market is in the low volatility state but not in the high volatility state. Finally, we provide evidence consistent with the ‘rebound’ model of asset returns proposed by Samuelson (1991), suggesting that long-horizon investors are expected to invest more in risky assets than short-horizon investors.     

ON THE SOURCES OF UNCERTAINTY IN EXCHANGE RATE PREDICTABILITY

In a unified framework, we examine four sources of uncertainty in exchange rate forecasting models: (i) random variations in the data, (ii) estimation uncertainty, (iii) uncertainty about the degree of time variation in coefficients, and (iv) uncertainty regarding the choice of the predictor. We find that models that embed a high degree of coefficient variability yield forecast improvements at horizons beyond one month. At the one‐month horizon, and apart from the standard variance implied by unpredictable fluctuations in the data, the second and third sources of uncertainty listed above are key obstructions to predictive ability. The uncertainty regarding the choice of the predictors is negligible.     

Escapism FDI from developed economies: The role of regulatory context and corporate taxation

In this paper, we extend the conceptualisation of escapism Foreign Direct Investment (FDI) holding for emerging economies to developed economies that face specific institutional failures, such as weak or incomplete regulations, along with high taxation. We combine this literature with the recent development of Dunning’s eclectic paradigm, which includes institutional aspects regarding location factors. We argue that in developed economies with problematic regulations and high taxation, sound institutions and lower tax rates abroad are extremely significant for domestic firms’ internationalisation. A central result regards the moderating effect of host regulatory quality on taxation, which highlights the crucial role of institutions for firms originating in developed economies that lack sound institutions. Additionally, the results challenge the available theorising and evidence on the moderating role of institutions in the prior experience of a firm at a location. We instead provide evidence that once firms establish a subsidiary abroad, they acquire substantial knowledge about the host institutional environment, which translates into an Ot advantage, providing an additional motive for further expansion. This work uses a unique database of the total population of Greek MNEs – released for the first time – for an extended time period, 2001–2010. The results could be generalised to similar developed economies facing analogous regulatory failures and high taxation, such as the southern European Union countries, as well as even for northern European Union countries, such as Germany, according to Bundesbank’s report.     

Individual investors and local bias in the UK, 1870–1935

This article examines the long‐run evolution of local bias by UK investors between the 1870s and the 1930s. It uses a large sample of nearly 30,000 shareholders based on 197 sets of share records, a large and representative database of the investor population across sectors and time. It investigates the structure and the evolution of local investment preference between shareholders and the companies in which they invested, as measured by the distance between where they lived and corporate headquarters. The study offers evidence of strong initial local investment preference, which declined over time for non‐Londoners, but remained strong for Londoners until the 1930s. Local investment preference of security holders was related to the size of the board of directors and, for wealthy investors, was related to the age of the firm. For large firms, local networks between investors and directors appear stronger when director shareholdings and voting rights were important. This study supports the analytical hypothesis of local informal trust networks between investors and directors as a means to overcome informational asymmetries and weak legal protection, and provides evidence that local preference was a means to curb insider opportunism and private benefits of control.     

REVISITING THE REAL WAGES–UNEMPLOYMENT RELATIONSHIP. NEW RESULTS FROM NON-LINEAR MODELS

We examine the long-run real wages–unemployment relationship for five OECD countries over the period 1960:1–2001:4. Given the theoretical possibility of non-linear equilibrium due to downward real wage rigidity we employ econometric tests that allow for the presence of non-linearities in the long-run equilibrium. We adopt the notion of 'hidden co-integration' suggested by Granger and Yoon . This methodology has several advantages with respect to other non-linear models. We find statistical evidence that, in general, there is a long-run positive relation between real wages and unemployment only when both are affected by positive shocks. We also find a negative relationship between unemployment and productivity. The empirical analysis is complemented with the estimation of error correction models for all countries.     

Integrating machine learning and workflow management to support acquisition and adaptation of workflow models

Current workflow management systems (WFMS) offer little aid for the acquisition of workflow models and their adaptation to changing requirements. To support these activities we propose to apply techniques from machine learning, which enable an inductive approach to workflow acquisition and adaptation. We present a machine learning component that combines two different machine learning algorithms: the first induces the structure of sequential workflows and the second is responsible for the induction of transition conditions. The second task can be solved by applying standard decision rule induction algorithms. In this contribution we focus mainly on the algorithms for the first task. For this purpose we describe two algorithms based on the induction of hidden Markov models. The first algorithm is a bottom‐up, specific‐to‐general algorithm and the other applies a top‐down, general‐to‐specific strategy. Both algorithms have been implemented in a research prototype. In six scenarios we evaluate and compare the two algorithms experimentally. The induced workflow models can be imported by the business process management system ADONIS. Copyright © 2000 John Wiley & Sons, Ltd.     

Composition versus decomposition in two-stage network DEA: a reverse approach

A two-stage production process assumes that the first stage transforms external inputs to a number of intermediate measures, which then are used as inputs to the second stage that produces the final outputs. The fundamental approaches to two-stage network data envelopment analysis are the multiplicative and the additive efficiency-decomposition approaches. Both they assume a series relationship between the two stages but they differ in the definition of the overall system efficiency as well as in the way they conceptualize the decomposition of the overall efficiency to the efficiencies of the individual stages. In this paper, we first show that the efficiency estimates obtained by the additive decomposition method are biased, by unduly favouring one stage against the other, while those obtained by the multiplicative method are not unique. Then, we present a novel approach to estimate unique and unbiased efficiency scores for the individual stages, which are then composed to obtain the efficiency of the overall system, by selecting the aggregation method a posteriori. Within the particularity of two-stage processes emerging from the conflicting role of the intermediate measures, we develop an envelopment model to locate the efficient frontier whose derivation from our primal multiplier efficiency assessment model is effectively justified. The results derived from our approach are compared with those obtained by the aforementioned basic methods on experimental data as well as on test data drawn from the literature. Similarities and dissimilarities in the results are rigorously justified.     

Network modeling approaches for calculating wholesale NGA prices: A full comparison based on the Greek fixed broadband market

According to the European Commission Recommendation for setting copper and fiber wholesale prices where cost orientation is imposed as a remedy, National Regulatory Authorities (NRAs) should adopt a Bottom-UP Long-Run Incremental Cost Plus (BU LRIC+) costing methodology that estimates the current cost that a hypothetical efficient operator would incur to build a modern efficient Next Generation Access (NGA) network. The starting point of modeling an efficient operator investing in NGA networks is the network modeling approach. In this paper, we compare the most widely adopted network modeling approaches in terms of wholesale fiber-to-the-home (FTTH) prices. In particular, the modified scorched node approach is compared to the extreme cases of the scorched node and the scorched earth approaches. The comparison between the aforementioned scenarios sheds light on the impact of each approach on the wholesale FTTH prices. The main finding of this paper is that the scorched earth approach leads to a maximum of 10% reduction in the short-term access prices compared to the most inefficient scorched node approach, whereas further extending its optimizations by optimizing the number of central offices, both the short-term and long-term wholesale price reductions are quite significant (more than 20%) regardless of service speeds. Consequently, NRAs should consider a geographically differentiated modeling approach when regulating the wholesale market by adjusting the level of scorching in each area and network segment according to the investment plans of telecom operators. An appropriate variation of the modeled network operator's efficiency is expected to more accurately represent the costs of a reasonably efficient operator based on the real market conditions and a forward-looking perspective. These findings provide valuable information to both network operators and telecom regulators.     

Interrogating Sickonomics,from Diagnosis to Cure: A Response to Hodgson

Hodgson's review of our books argues against us that marginalism neither adopted methodological individualism nor excluded the social from economics. Thus, he finds a partial solution to sickonomics in abandoning the term methodological individualism and using both structures and individuals as analytical starting point(s), revisiting Marshallian marginalism dressed up in socio-institutional clothing. He also denies any relationship between the current malaise in economics and the marginal revolution, as we claim, focusing exclusively on institutional developments since the Second World War. We show Hodgson is either partial or wrong on all of these counts. Firstly, his alternative to methodological individualism is untenable. Secondly, institutions, although implicitly present in Marshallian and Walrasian economics, play no substantive analytical role and as such are superfluous. Finally, although institutional factors help explain the sickness of modern economics (in addition to socioeconomic, ideological, political, and intellectual factors), the intellectual roots of this decay lie in the conceptual framework established around the marginal revolution.