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We review and analyze the accounting literature that examines the effects of accounting conservatism on financial statements and financial statement users. We begin by analyzing how conservatism affects the reported numbers on the financial statements. These studies primarily evaluate how conservatism affects earnings quality, including earnings persistence and the presence of earnings management. Next, we assess the effect of accounting conservatism on the users of the financial statements. We identify three primary users of the financial statements: (1) equity market users (2) debt market users and (3) corporate governance users. Within each of these categories, we analyze the findings of prior research and explore unanswered research questions. By analyzing the effects of accounting conservatism from a diverse range of research topics, we inform the discussion on the costs and benefits of accounting conservatism.

Based on a survey study of 138 software buyers in Turkey, this study examines conditional indirect effects of requirements uncertainty on supplier opportunism where buyer dependence, a proxy for relation-specific investments, undertakes a mediator role. The authors consider a two-level moderation effect of trust and contract in buyer–supplier relationships throughout the software project lifecycle.

A survey-based empirical study was conducted, and conditional process analyses were run using PROCESS macro in SPSS. The present study tests a two-stage moderated mediation model in which competence-based trust with a detailed contract setting moderates the mediational path from requirements uncertainty to buyer dependence.

The data obtained from the buyer side in the Turkish software industry showed that a relationship in which the buyer is structurally dependent begins at a high level of trust. On the other hand, the authors found that contractual rigidity fosters supplier opportunism ex-post in evolving process of the relationship.

This study contributes to project management literature by testing a two-level moderation effect of governance and the mediator role of buyer dependence in the relationship between requirements uncertainty and supplier opportunism. Moving differently from the previous studies, this study integrates contributions of both economic perspectives, such as resource dependence theory and transaction cost analysis, and relational perspectives into the information processing view.

This paper aims to examine the pricing effects of risks conditional on market situations.

The model used to test for the conditional pricing effects of risks is a modified version of Pettengill et al.'s cross‐sectional regression model, based on Hong Kong equity data.

The paper postulates a five‐factor asset pricing model, which hypothesizes that five risk factors are relevant in the pricing of equity stocks, namely beta, size, book‐to‐market equity, market leverage, and share price, but conditional on market situations, i.e. whether the market is up or down.

The findings enrich our understanding of capital market behaviour, and should prove helpful to investors and corporate managers in both their domestic and international financial decisions.

This study yields important results on a Chinese market, which lend support to the conditional risk pricing hypotheses originally developed in the US, implying that conditional risk pricing is applicable not only in the US market but also in other markets around the globe.

The purpose of this paper is to examine weekly dynamic conditional correlations (DCC) and vector autoregressive (VAR)-based volatility spillover effects within the three Greater China (GC) public property markets, as well as across the GC property markets, three Asian emerging markets and two developed markets of the USA and Japan over the period from January 1999 through December 2013.

First, the author employ the DCC methodology proposed by Engle (2002) to examine the time-varying nature in return co-movements among the public property markets. Second, the author appeal to the generalized VAR methodology, variance decomposition and the generalized spillover index of Diebold and Yilmaz (2012) to investigate the volatility spillover effects across the real estate markets. Finally, the spillover framework is able to combine with recent developments in time series econometrics to provide a comprehensive analysis of the dynamic volatility co-movements regionally and globally. The author also examine whether there are volatility spillover regimes, as well as explore the relationship between the volatility spillover cycles and the correlation spillover cycles.

Results indicate moderate return co-movements and volatility spillover effects within and across the GC region. Cross-market volatility spillovers are bidirectional with the highest spillovers occur during the global financial crisis (GFC) period. Comparatively, the Chinese public property market's volatility is more exogenous and less influenced by other markets. The volatility spillover effects are subject to regime switching with two structural breaks detected for the five sub-groups of markets examined. There is evidence of significant dependence between the volatility spillover cycles across stock and public real estate, due to the presence of unobserved common shocks.

Because international investors incorporate into their portfolio allocation not only the long-term price relationship but also the short-term market volatility interaction and return correlation structure, the results of this study can shed more light on the extent to which investors can benefit from regional and international diversification in the long run and short-term within and across the GC securitized property sector, with Asian emerging market and global developed markets of Japan and USA. Although it is beyond the scope of this paper, it would be interesting to examine how the two co-movement measures (volatility spillovers and correlation spillovers) can be combined in optimal covariance forecasting in global investing that includes stock and public real estate markets.

This is one of very few papers that comprehensively analyze the dynamic return correlations and conditional volatility spillover effects among the three GC public property markets, as well as with their selected emerging and developed partners over the last decade and during the GFC period, which is the main contribution of the study. The specific contribution is to characterize and measure cross-public real estate market volatility transmission in asset pricing through estimates of several conditional “volatility spillover” indices. In this case, a volatility spillover index is defined as share of total return variability in one public real estate market attributable to volatility surprises in another public real estate market.

Board size is an important dimension of corporate governance. The purpose of this study is to propose and test indirect effects of organization size on organizational performance via board size, in the context of industry.

The study’s predictions were tested in 288 medium and large organizations listed on the Australian Securities Exchange using archival data.

The findings of this study suggest the following: organization size is positively associated with board size and this relationship is stronger in manufacturing organizations; board size is positively associated with performance and this relationship is conditional on industry; and organization size has an indirect effect on performance via board size, and this indirect effect is also conditional on industry.

The results provide some support for the resource dependency theory, agency theory and contingency theory.

The findings suggest that directors should take into account the effects of board size and industry to provide a more precise assessment of the board’s performance.

It predicts and tests the pioneering moderating effect of industry (manufacturing vs services) on the organization size–board size, board size–organizational performance and organization size–board size–organizational performance relationships.

García Lara et al. (2011) argue that there is a conservatism-related priced risk factor in US stock returns. To put this to the test, the authors aim to analyze whether the conditional conservatism effect comes from the loading on a conditional conservatism-related factor-mimicking portfolio (systematic risk) or the conservatism characteristic itself.

The authors form characteristic-balanced portfolios from dependent sorts of stocks on the firm’s degree of conservatism and the firm’s loading on the conservatism-related factor-mimicking portfolio as proposed by Daniel and Titman (1997) and Davis et al. (2000).

The tests indicate that it is the conditional conservatism characteristic rather than the factor loading that explains the cross-sectional differences in average stock returns. Consequently, they do not find evidence for a conservatism-related priced risk factor.

This finding suggests that investors misvalue the conservatism characteristic and casts doubt on the rational risk explanation as proposed by García Lara et al. (2011).

The purpose of this paper is to examine whether the house prices in Finland share financial characteristics with assets such as stocks. The studied regions are 15 main regions in Finland over the period of 1988:Q1-2018:Q4. These regions are divided geographically into 45 cities and sub-areas according to their postcode numbers. The studied type of dwellings is apartments (block of flats) divided into one-room, two rooms and more than three rooms apartment types.

Both Ljung–Box and Lagrange multiplier tests are used to test for clustering effects (autoregressive conditional heteroscedasticity effects). For cities and sub-areas with significant clustering effects, the generalized autoregressive conditional heteroscedasticity (GARCH)-in-mean model is used to determine the potential impact that the conditional variance may have on returns. Moreover, the exponential GARCH model is used to examine the possibility of asymmetric effects of shocks on house price volatility. For each apartment type, individual models are estimated; enabling different house price dynamics, and variation of signs and magnitude of different effects across cities and sub-areas.

Results reveal that clustering effects exist in over half of the cities and sub-areas in all studied types of apartments. Moreover, mixed results on the sign of the significant risk-return relationship are observed across cities and sub-areas in all three apartment types. Furthermore, the evidence of the asymmetric impact of shocks on housing volatility is noted in almost all the cities and sub-areas housing markets. These studied volatility properties are further found to differ across cities and sub-areas, and by apartment types.

The existence of these volatility patterns has essential implications, such as investment decision-making and portfolio management. The study outcomes will be used in a forecasting procedure of the volatility dynamics of the studied types of dwellings. The quality of the data limits the analysis and the results of the study.

To the best of the author’s knowledge, this is the first study that evaluates the volatility of the Finnish housing market in general, and by using data on both municipal and geographical level, particularly.

The purpose of this paper is to examine the conditional correlations and spillovers of volatilities across CEE markets, namely, Hungary, Poland, the Czech Republic, Romania and Croatia, in the post-2007 financial crisis period.

The authors use five-dimensional GARCH-BEKK alongside with the CCC and DCC models.

The estimation results of the three models generally demonstrate that the correlations between these markets are particularly significant. Also, own-volatility spillovers are generally lower than cross-volatility spillovers for all markets.

These results recommend that investors should take caution when investing in the CEE equity markets as well as diversifying their portfolios so as to minimize risk.

Unlike the previous studies in this field, this paper is the first study using multivariate GARCH-BEKK alongside with CCC and DCC models. The study makes an outstanding contribution to the existing literature on spillover effects and conditional correlations in the CEE financial stock markets.

Grounding on relational view and contingent resource-based views, the authors investigate the conditional indirect effect of Supply Chain Relational Practices (SCRPs) on supply chain performance (SCP) through proactive and reactive supply chain resilience (SCRE) capabilities at different levels of network complexity (NC).

The authors adopt an “exploratory sequential mixed methods design” combining the qualitative and quantitative approaches under a positivist paradigm. The qualitative method is primarily used to contextualize and develop better measurements of the factors and variables using content analysis of the field studies. This then informs the quantitative phase which conducts a questionnaire survey among the apparel manufacturing firms in Bangladesh. The authors analyzed the quantitative data using Partial Least Square based Structural Equation Modelling. The authors also used PROCESS integrated regression analysis to test conditional indirect effects.

Our research findings indicate that the indirect effect of SCRPs on SCP through proactive and reactive SCRE is positive and significant. It also finds that the conditional indirect effect is high at higher NC.

The results have immense practical implications as it proposes to enhance relational practices in order to develop SCRE as a contingent resource to mitigate disruptions. This will also help the supply chain (SC) managers to work through smoothly at different levels of supply chain NC and improve SCP.

Extant literature does not provide a deeper understanding of the impact of SCRPs on SCP, while SCRE and NC influence the link. Therefore, investigation of the conditional direct and indirect effect of SCRPs on SCP through proactive and reactive SCRE at different levels of NC is novel in SC management literature.

Mora and Acevedo (2019) report that the government spending multipliers in Latin American countries are notably higher than what is typically reported for developed economies. Latin American countries have been inclined toward using procyclical fiscal policies. Those policies have been perceived as being effective at mitigating the effects of the 2008–2009 Great Recession. This study aims to estimate the government spending multiplier using Latin American panel data from 19 Latin American countries from 2000 to 2018. The estimates are conditional on the extent of openness, capital mobility and economic freedom. Based on the results, the latter is important: the less economically free a country, the larger its spending multiplier. Lower economic freedom in Latin American countries can help to account for their large spending multipliers. In particular, restrictions on international trade are positively associated with multipliers. This is the case even while controlling the trade share of GDP.

The authors provide regression results that are conditional on the extent of openness, capital mobility and economic freedom.

The less economically free a country, the larger its spending multiplier. Lower economic freedom in Latin American countries can help to account for their large spending multipliers. In particular, restrictions on international trade are positively associated with multipliers. This is the case even while controlling the trade share of GDP.

To the best of the authors’ knowledge, this is first study to estimate the fiscal multiplier conditional on economic freedom levels. The authors provide correctly calculated multipliers conditional on different levels of economic freedom. The authors point the way to future studies considering the effectiveness of fiscal policy conditional on institutional/policy quality.