Oligarchs,political regime changes,and firm valuation1

This paper examines the impact of a regime shift on the valuation of politically powerful oligarch firms. Focusing on the Yeltsin–Putin regime shift in Russia, we find that the valuations of oligarch‐controlled firms are significantly higher under the Putin regime than under the Yeltsin regime after controlling for industry and time effects. The findings suggest that the increasing cost of extracting private benefits outweighs the reduction in the value of political connections following the political regime change. The results are also consistent with changes in the risk of state expropriation. Our results indicate that effects driven by the political regime change complement the traditional view that increased ownership concentration improved the performance of Russian oligarch firms.     

Coups,regime transitions,and institutional consequences

Coups and regime transitions are events that typically are intended to change the basic institutional framework of a country. Which specific institutions change and the consequences of these changes nevertheless remains largely unknown. Change after a coup or transition implies that some form of political or judiciary barrier has been erected or removed. We therefore focus on what happens to the quality of judicial institutions and political corruption around coup attempts and other types of regime transitions. We hypothesize that when coups are conducted by members of the incumbent political elite, they are likely to remove barriers to change while coup makers outside of the ruling elite are more likely to do the opposite and thus protect themselves from what remains of the elite in the political system. Using the new Bjørnskov-Rode coup dataset, our results suggest that successful coups are associated with degradation of institutions, with successful military coups in particular having a significant negative effect. Results are more varied for civilian coups where we find indications of differences depending on whether the coup makers are part of a political elite or not. We also explore whether the incumbent regime influences the effect of coup attempts on institutional change.     

Asymmetric expectation effects of regime shifts in monetary policy

This paper addresses two substantive issues: (1) Does the magnitude of the expectation effect of regime switching in monetary policy depend on a particular policy regime? (2) Under which regime is the expectation effect quantitatively important? Using two canonical DSGE models, we show that there exists asymmetry in the expectation effect across regimes. The expectation effect under the dovish policy regime is quantitatively more important than that under the hawkish regime. These results suggest that the possibility of regime shifts in monetary policy can have important effects on rational agents' expectation formation and on equilibrium dynamics. They offer a theoretical explanation for the empirical possibility that a policy shift from the dovish regime to the hawkish regime may not be the main source of substantial reductions in the volatilities of inflation and output.     

Socio-ecological regime transitions in Austria and the United Kingdom

We employ the concepts of socio-ecological regime and regime transition to better understand the biophysical causes and consequences of industrialization. For two case studies, the United Kingdom and Austria we describe two steps in a major transition from an agrarian to an industrial socio-ecological regime and the resulting consequences for energy use, land use and labour organization. In a first step, the coal based industrial regime co-existed with an agricultural sector remaining within the bounds of the old regime. In a second step, the oil/electricity based industrial regime, agriculture was integrated into the new pattern and the socio-ecological transition had been completed. Industrialization offers an answer to the input and growth related sustainability problems of the agrarian regime but creates new sustainability problems of a larger scale. While today's industrial societies are stabilizing their resource use albeit at an unsustainable level large parts of the global society are in midst of the old industrial transition. This poses severe problems for global sustainability.     

Conditional Markov regime switching model applied to economic modelling

In this paper we discuss the calibration issues of regime switching models built on mean-reverting and local volatility processes combined with two Markov regime switching processes. In fact, the volatility structure of these models depends on a first exogenous Markov chain whereas the drift structure depends on a conditional Markov chain with respect to the first one. The structure is also assumed to be Markovian and both structure and regime are unobserved. Regarding this construction, we extend the classical Expectation–Maximization (EM) algorithm to be applied to our regime switching model. We apply it to economic data (Euro/Dollar (USD) foreign exchange rate and Brent oil price) to show that such modelling clearly identifies both mean reverting and volatility regime switches. Moreover, it allows us to make economic interpretations of this regime classification as in some financial crises or some economic policies.     

Measuring systemic risk with regime switching in tails

This paper motivates the importance of modeling nonlinearities in measuring systemic risk. I capitalize this motivation by generalizing the CoVaR approach proposed by Adrian and Brunnermeier (2016) to allow it switching between a high and a normal risk regime filtered from data.. Considering the U.S. large bank holding companies (BHCs), this paper shows that modeling regime changes in tails is capable of capturing both amplification and mean-reversion effects of an adverse shock to a bank's balance sheet on the banking system. Using the Kolmogorov–Smirnov test statistics with and without bootstrapping, I perform the significance test to identify systemically important financial institutions (SIFIs), and the stochastic dominance test to rank the identified SIFIs. The stochastic dominance test raises the concern that the CoVaR measure underestimates systemic risk contributions for SIFIs but overestimates for non-SIFIs. Finally, applying the BHCs' characteristics and housing market price to forecast the regime-switching systemic risk out-of-sample, I obtain from 4- and 8-quarter-ahead horizons a desirable countercyclical, forward-looking measure of systemic risk.     

Choice of exchange rate regime and currency zones

We investigate the choice of exchange rate regimes in different currency zones (the US dollar, Euro and the CFA zones), and geographic regions (Latin America and Caribbean, East Asia and Pacific, Europe, core Europe, and the CFA countries). We control for country and regional heterogeneity, time dummies, endogeneity and perform various robustness checks. Results from regional analysis substantially differ from the aggregate analysis despite controlling for random effects. Even at the regional level controlling for currency zones affects our findings. Regional results are generally robust to regime measurement, and sample changes (number of observations).     

An investigation of regime shifts in UK commercial property returns: a time series analysis

The random-walk hypothesis, vis-à-vis asset price, suggests that prices traded in a market cannot be predicted based on historical information. Employing unsecuritized UK commercial property returns, we analyse this hypothesis by investigating regime shifts or multiple changes in persistence in the series. Our results uncover regime shifts in both the aggregate and sector-specific data. Specifically, the shifts are less frequent in the Industrial sector, compared to the Office, Retail and Aggregate returns data. We highlight some implications for academics, practitioners and regulators.     

The model and empirical estimation of the optimal flexibility of RMB exchange-rate regime: A study based on the price-stabilization

Under the Mundell-Fleming-Dornbusch (M-F-D) framework, the paper develops a stochastic model to study the optimal choice of RMB exchange rate regime based on two objectives, namely the exchange rate stabilization and price stabilization. The paper finds that different policy objectives will lead to different optimal choices of RMB exchange-rate regime. If the central bank aims to stabilize the price level, the optimal choice would be a certain type of intermediate regime, or the optimal choice would be a fixed one if it aims to stabilize the RMB exchange rate. Based on the model, the paper empirically estimates China’s open economy parameters and uses them to estimate the optimal flexibility of RMB exchange rate regime. The paper points out that China should allow more exchange rate changes to absorb its foreign exchange market pressure in order to stabilize the general price level, which indicates that China should move toward a more flexible exchange rate regime.     

Does a strong patent regime discourage innovation?

Does a strengthening of the patent regime impact R&;D expenditure? For the US semiconductor industry, a strengthening of the patent regime in the 1980s was followed by a sharp increase in patenting but had almost no impact on R&;D expenditure. This paper attempts to understand this patent paradox by taking some of the industry features into account. We present a model of invention and product development in complex industries where product development involves putting together a large number of inventions and where licensing of patentable inventions is common. While a stronger patent regime leads to higher patenting in both in presence and absence of licensing, the positive relationship between patenting and R&;D is weakened in presence of licensing since licensing provides an alternative way of accessing inventions. A stronger patent regime, therefore, may only create weak incentives to increase R&;D, while strongly increasing patenting activities in such an industry.     

On the timing of political regime changes in resource-dependent economies

We consider a resource-dependent economy initially ruled by the elite. The transition from the autocratic to a more democratic regime takes place only if the citizens decide to revolt against the elite. The occurrence of a revolution primarily depends on the autocratic regime vulnerability and the level of inequalities, both being driven by the elite׳s redistribution and repression policies. First, we show that when a political transition is inevitable, the elite choose the maximum rate of redistribution to lengthen their period in office. Second, we find that the duration of the autocratic regime is linked to resource abundance, and how it relates to the elite׳s policies. More resources lead to a shorter reign of a redistributive regime, which may not be the case of a repressive regime. Finally, we interpret the Arab spring sequence in light of our findings.     

Irreversible investment with regime shifts

Under the real options approach to investment under uncertainty, agents formulate optimal policies under the assumption that firms’ growth prospects do not vary over time. This paper proposes and solves a model of investment decisions in which the growth rate and volatility of the decision variable shift between different states at random times. A value-maximizing investment policy is derived such that in each regime the firm's investment policy is optimal and recognizes the possibility of a regime shift. Under this policy, investment is intermittent and increases with marginal q. Moreover, investment typically is very small but, in some states, the capital stock jumps. Implications for marginal q and the user cost of capital are also examined.     

Exchange rate regime classifications and exchange rate variability

It is well known that the exchange rate regime (ERR) declared to the IMF is often different from the actual regime. Several alternative schemes for de facto regime classification have been developed. In this article, we compare the ability of four popular schemes to track exchange rate variability (ERV). We find that the existing ERR classifications do not match well with the degree of ERV, especially for intermediate regimes. For instance, in the Levy-Yeyati and Sturzenegger (2003) coding, the intermediate regimes exhibit greater ERV than the floaters. On the other hand, for the Reinhart and Rogoff (2004) coding, the fixers show greater variability than some intermediates.     

Expectation formation and regime switches

Economic agents often have to make decisions in environments affected by regime switches but expectation formation has hardly been explored in this context. We report about a laboratory experiment whose participants judgmentally forecast three time series subject to regime switches. The participants make forecasts without context knowledge and without support from statistical software. Their forecasts are only based on the previous realizations of the time series. Our interest is the explanation of the average forecasts with a simple model, the bounds & likelihood heuristic. In previous studies it was shown that this model can explain average forecasting behavior very well given stable and stationary time series. We find that the forecasts after a structural break are characterized by a higher variance and less accuracy over several periods. Considering this transition phase in the model, the heuristic performs even slightly better than the Rational Expectations Hypothesis.     

Short-selling constraints and stock-valuation pattern: a regime–event analysis

Employing a novel approach of integrating regime analysis with event analysis, we examine the overall valuation pattern of stocks that traverse the short-sale-ban and the no-ban regime, employing data from the Hong Kong market. Switching from the ban to the no-ban regime, stocks initially undergo net cumulative undervaluation and then revert to fundamental valuation. Switching from the no-ban to the ban regime, stocks initially experience net cumulative excessive overvaluation and then revert to permanent overvaluation. The amount of net cumulative undervaluation is greater than the amount of net cumulative excessive overvaluation. This documented overall pattern offers a broad perspective on short-sale constraints and stock valuation.     

Hidden patterns in exchange rate regime choice

There have been a number of empirical attempts to account for variation in exchange rate regime choice, but these attempts point in several directions and are not made sense of easily. One reason for the differences among studies is that standard statistical techniques are unable to identify the nonlinear and contingent relationships among the factors that influence the choice of exchange rate regime. This article utilizes a statistical technique that reveals complex nonlinear interactions among variables. The analysis reveals that the influence of past inflation acts to condition the influence of labor market rigidity and that political stability plays a key role for both high and low inflation countries.     

Minimizing the losers: regime satisfaction in multi-level systems

The political blessings of federalism are the core of our discussion. These benefits can be operationalized as a decrease in the number of outvoted people in a federal system with majority voting which is an important source of regime satisfaction. The approach originates from the work of Roland Pennock who developed a similar methodology about 50 years ago. Measuring inverse regime satisfaction by the maximum of the outvoted, our results show that regime satisfaction decreases if total population rises. Additionally, the share of the maximum outvoted decreases if the top level cooperates with lower-level jurisdictions and if all jurisdictions of one level are included. However, while the inclusion of an additional lowest-level jurisdiction always reduces the relative number of the outvoted, the effect of including other levels depends on the structure of jurisdictions already intertwined.     

Herding and the shifting determinants of exchange rate regime choice

It is difficult to pin down the factors that determine states’ choice of exchange rate regime because those very factors present a moving target. Many scholars have taken on the same question: what are the determinants of exchange rate regime choice? But as a group they have been unable to identify a stable answer. The reason for this is that the factors that best predict exchange rate regime vary dramatically across time. An explanation for this variation is offered: rational herding, or information cascades, can explain why one factor becomes prominent for a period of time then suddenly drops off and is replaced by a better predictor.     

Optimal policy rules and regime switching in disequilibrium models

This paper emphasizes the need to search for globally optimal policy levels (for public production, say) in fix-price disequilibrium analysis. Regime-specific rules are inadequate. They ignore the fact that moving a policy towards its optimal level may move the economy from its initial disequilibrium regime to a different regime where the rule no longer applies.     

Idiosyncratic risk matters! A regime switching approach

The evidence on the inter-temporal relation between idiosyncratic risk and future stock returns is conflicting and confusing. We shed new light on the issue using a more flexible econometric approach based on [Hamilton, J.D. 1989. A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica, 57, 357–384.] regime switching model that accommodates the parameter instability of the forecasting relation between returns and financial variables. We find strong evidence suggesting that idiosyncratic risk is related to future stock market returns only in the low variance regime.