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We model the interaction between a profit-maximizing firm and an activist using an infinite-horizon dynamic stochastic game. The firm enhances its reputation through “self-regulation”: voluntary provision of an abatement activity that reduces a negative externality. We show that in equilibrium the externality-reducing activity is subject to decreasing marginal returns, which can cause the firm to “coast on its reputation,” that is, decrease the level of externality-reducing activity as its reputation grows. The activist, which benefits from increases in the externality-reducing activity, can take two types of action that can harm the firm’s reputation: criticism, which can impair the firm’s reputation on the margin, and confrontation, which can trigger a crisis that may severely damage the firm’s reputation. The activist changes the reputational dynamics of the game by tending to keep the firm in reputational states in which it is highly motivated to invest in externality-reducing activity. Criticism and confrontational activity are shown to be imperfect substitutes. The more patient the activist or the more passionate it is about externality reduction, the more likely it is to rely on confrontation. The more patient the firm and the more important corporate citizenship is to firm’s brand equity, the more likely that it will be targeted by an activist that relies on confrontation.

The purpose of this paper is to explore if hedge fund variables (HFVs) are associated with long-run compounded raw returns (CRRs) for seasoned equity offering (SEO) firms for a six-year window around the offering month for firms undergoing SEOs.

The event study methodology is used to calculate long-run CRRs that are used in a regression model as dependent variables. Independent variables include HFVs and nonhedge fund variables (NFVs) with standard errors clustered at the month level.

Three new long-run findings, consistent with recent short-run findings, are offered. First, HFVs are significantly associated with long-run CRRs for SEO firms. Second, HFVs perform competitively compared to NFVs. Third, a potential omitted-variable bias results if HFVs are not used.

This research assumes that hedge fund managers can identify good (poor) performing SEO firm that allow for profitable long (short) positions. The proportion of hedge funds using a strategy will change in the hypothesized manner needed to make profit.

Hedge fund managers can use long-run strategies to capitalize on price movements around significant corporate events.

Larger institutional traders have investment advantages due to superior knowledge and greater ability to manipulate prices.

This research is the first study to detail the significant association between hedge fund stratagems and long-run stock returns for firms undergoing key corporate events. This study demonstrates the need to consider hedge fund strategies when trying to understand stock price movements.

The purpose of this study is to compare two theories that relate the proportion of diversified firms in the economy and the implied discount for diversified firms: the first is a real-options model predicting a positive relationship between the discount and management’s choice to operate a diversified firm; the second is based on catering theory, in which a negative relationship is predicted, as management is attentive to investor preference concerning diversified firms.

This study proposes a new aggregate measure of the diversification discount. The authors’ measure allows for decomposition of the discount into firm-level mispricing, industry-level mispricing and long-run fundamental value components.

Results support a catering theory of diversification. The discount appears to be the result of firm-level mispricing. Thus, providing an explanation for why, in light of the observed discount, a large number of diversified firms persist.

To the authors’ knowledge, this is the first study to provide evidence that firm-level mispricing may drive the observed diversification discount.

Housing prices in Sydney have increased rapidly in the past three decades. This leads to a debate of whether Sydney housing prices have departed from macroeconomic fundamentals. However, little research has been devoted to this area. Therefore, this study aims to fill this gap by examining the long-run association between housing prices and market fundamentals. Further, it also examines the long-run determinants of housing prices in Greater Sydney.

The analysis of this study involves two stages. The first stage is to estimate the presence of long-run relationship between housing prices and market fundamentals with the Johansen and Juselius Cointegration test. Thereafter, the determinants of housing prices in Greater Sydney is assessed by using a vector error correction model.

The empirical results show that Sydney housing prices are cointegrated with market fundamentals in the long run. In addition, there is evidence to suggest that market fundamentals such as gross disposable income, housing supply, unemployment rate and gross domestic product are the key long-run determinants of Sydney housing prices, reflecting that Sydney housing prices, in general, can be explained by market fundamentals in the long run.

The findings enable more informed and practical policy and investment decision-making regarding the relation between housing prices and market fundamentals.

This paper is the first study to offer empirical evidence of the degree to which the behaviour of housing prices can be explained by market fundamentals, from a capital city instead of at a national level, using a relatively disaggregated dataset of housing price series for Greater Sydney.

Are share markets too volatile? While it is difficult to ignore share market volatility it is important to determine whether volatility is excessive. This paper replicates the Shiller (1981) test as well as applying standard time series analysis to annual Australian stock market data for the period 1883 to 1999. While Shiller’s test suggests the possibility of excess volatility, time series analysis identifies a long‐run relationship between share market value and dividends, consistent with the share market reverting to its fundamental discounted cash flow value over time.

The purpose of this paper is to empirically analyse how different exchange rate regimes affect the links between monetary fundamentals and exchange rates in Sub-Saharan Africa.

Using the Pedroni method for panel cointegration, mean group and pooled mean group and the panel vector autoregressive technique, this study empirically investigates whether monetary fundamentals impact exchange rates similarly in both regimes. Thus, the author acquires needed and credible empirical data.

The result suggests that the impact is dissimilar. In the floating regime, an increase in relative money supply and relative real output depreciates and appreciates the nominal exchange rate in the long run whereas in the non-floating regime, the evidence is mixed. Thus, exchange rates bear a theoretically consistent relationship with monetary fundamentals across SSA countries with floating regimes but fails under non-floating regimes. This provides evidence that regime choice is important if the relationship between monetary fundamentals and exchange rates in SSA are to be theoretically consistent.

This study empirically incorporates the dissimilarities in exchange rate regimes in a panel framework and study the links between exchange rates and monetary fundamentals. The focus on how exchange rate regimes might alter the equilibrium relationships between exchange rates and monetary fundamentals in SSA is a pioneering experiment.

Despite remarkable economic growth in the last two decades, corruption is a “way of life” in Bangladesh. The purpose of this paper is to investigate the long run relationship between economic development and corruption in Bangladesh over 1984-2013.

This study employs autoregressive distributed lag (ARDL) bounds test method to examine the long run relationship or cointegration between corruption and per capita real GDP in Bangladesh using annual time series data. International Country Risk Guide’s (ICRG) corruption index is used as the proxy to measure the degree of corruption.

The results of ARDL bounds test confirm that there exists a long run association between corruption and economic development in Bangladesh. Findings from the long run estimation provide evidence of negative impact of corruption on economic development. The negative value of the error correction term in the short model reinforces the existence of long run relationship.

Using multivariate time series approach, this paper contributes to corruption literature by investigating the long run relation between corruption and economic development in Bangladesh. Bangladesh would be able to accelerate its economic development further by reducing the level of corruption through institutional reforms and raising public awareness. Most importantly, government should focus on identifying and abolishing laws and programmes promoting corruption.

The purpose of this paper is to examine the pricing efficiency of the Malaysian crude palm oil (CPO) market before and after the structural break. This study uses the daily closing price of CPO and CPO futures (CPO-F) for the period ranging from June 2009 to August 2016 while taking structural breaks into account.

In this study, symmetric and asymmetric long-run relationship model are employed, such as the Johansen cointegration, VECM, TAR and M-TAR models, to examine the impact of structural breaks on the pricing efficiency of the Malaysian CPO market.

This finding establish that Malaysian CPO price is efficient before and after the structural break. The consistent efficiency of the Malaysian CPO market supports the trading of the CPO-F in Globex and the use of Malaysian CPO pricing as the reference price. This study establishes that a structural break in the Malaysian CPO price series does not affect the pricing efficiency of the market.

This study shows that using Malaysian CPO price as a reference price is sustainable even in the event of a structural break. Therefore, market participants in the Malaysian CPO market have less to worry about the CPO price as it supports the weak form of efficiency. Price deviation in the short run may not lead to arbitrage profit as transaction cost may not be covered.

This study implies that if there is distortion in the price due to shocks, both manufacturers and producers need to hedge their positions in the futures market (subject to their positions in the underlying market). By entering into the futures market, pricing is locked in advance; hence, price risk is eliminated. Such a distortion could also affect the efficiency of the CPO price, therefore this study also addresses the issue of efficiency of the local CPO market.

Previous studies on Malaysian CPO pricing efficiency did not take the effect of structural break into consideration, making it difficult for these studies to show consistency in the efficiency of the Malaysian CPO market.

The aim of this chapter is to show the limits of the European policy model and to support the existence, through straightforward empirical analysis, of an inverse relationship both in the short run and in the long run between trust in institutions and unemployment. The empirical methodology relies on dynamic panel data techniques allowing measuring in a single equation both the long-run relationship and the short-run speed of adjustment among variables. This connection appears to be valid both in the Eurozone considered as a whole and in particular in peripheral countries, where the macroeconomic dynamics have been, under this respect, much more divergent from the average. This outcome allows proofing that to consolidate the European process of integration in the long run, institutions should have as main objective not only inflation but especially unemployment.