Time Orientation in Languages and Tax Avoidance

Journal of Business Ethics - Studies suggest that when a language requires grammatical marking of future events, speakers prefer immediate payoffs and engage in less future-oriented behavior. If...     

The Effect Of Advertising Content Control On Advertising Effectiveness In The Different Forced Exposure Circumstance

With advances in new technology, various formats of online advertising (e.g., in-stream video advertising) often force e-consumers to watch the advertisement during their goal-oriented activities, and this advertising interruption often makes them feel intruded upon and irritated. To reduce such negative reactions toward involuntary advertising exposures, this study examines whether offering e-consumers the option to choose advertising content can influence ad effectiveness in different degrees of forced exposure circumstance. Using a 2 (advertising content control: customization option vs. no option) × 2 (level of forced exposure: pre-rolls vs. rich media banners) factorial experiment, the researcher noted that advertising customization features generate a greater sense of relevance and increased advertising memory, which in turn may lead to more positive attitudes toward the ad regardless of the levels of forced exposure. The findings have theoretical and practical implications on the use of involuntary advertising interruptions in the web interface.     

Spatial movement patterns among intra-destinations using social network analysis

To explore popularly visited tourist locations, travel movement patterns, and movement points, this study collected samples of 321 Chinese tourists and 337 Japanese tourists who were visiting major tourist destinations in Seoul and its vicinity in South Korea. Results of analyzing movement patterns showed that Japanese tourists tend to be clustered around popular attractions, whereas Chinese tourists tend to spread over a larger area of attractions. Some specific shopping and amusement attractions were the locations most popularly visited by both groups. The start points and end points in the two groups’ itineraries were dissimilar overall, even though their patterns were similar in regard to major preferred tourist attractions. Thus, the findings of this study have the potential to contribute to understanding spatial mobility in a tourism destination through tracking tourists’ movement patterns.     

Factors affecting agricultural land transfer-in in China: a semiparametric analysis

We use interview survey data collected randomly from 2677 farm households in nine provinces of China to understand the role of demographic, economic, land, and village characteristics on agricultural land transfer-in by farmers. Results show that variables such as borrowing from informal sources, household labour availability, percentage of total income from agricultural sources, and the household with village cadre have significant positive effects on land transfer-in. Low economic development and low transportation network availability in a county reduces land transfer-in. We also find that two variables (land holding and land idling) should be entered into the model nonparametrically. Land holding and land idling have U- and L-shaped impacts on land transfer-in, respectively. Land transfer-in has endowment equilibrium and provides Chinese households more opportunities to earn agricultural income, thereby reducing rural poverty.     

Do hedge funds time market tail risk? Evidence from option-implied tail risk

This paper focuses on an unexplored dimension of fund managers’ timing ability: Market-wide tail risk implied by information in options markets. Constructing the option-implied tail risk, we investigate whether hedge fund managers can strategically time the tail risk through adjusting their exposure to changes of it. Using an extensive sample of equity-oriented hedge funds, we find strong evidence of tail risk timing ability of hedge fund managers. Furthermore, tail risk timing ability brings significant economic value to investors. Top-ranked funds outperform bottom-ranked funds by 5–7% annually after adjusting for risk factors. Our results are robust to various robustness checks.     

Does local political support influence financial markets? A study on the impact of job approval ratings of political representatives on local stock returns

Using data on job approval ratings of governors, U.S. senators, and the president, we find that firms located in states with high approval ratings outperform firms located in states with low approval ratings by .64% per month. Furthermore, this relationship is stronger when investors are actively involved in politics, when local politicians are closer to the center of political power, for small firms that have a larger proportion of local investors, and for financially strong areas where investors are ready to execute investments in local stocks. Overall, our study shows that investors’ political sentiment is important in determining stock returns.     

Short-sale constraints and informational efficiency to private information: A natural experiment

Exploiting a regulatory change in short-sale constraints (Regulation SHO) as a natural experiment, this paper examines the effect of short-sale constraints on informational efficiency of stock prices to private information. I find that short-sellers act as informed traders prior to forthcoming analyst news and trade on negative private information. When short-sale constraints are relaxed for pilot stocks (treatment group), both trading volume and stock price sensitivity increase prior to the analyst announcement for bad news but not for good news, relative to that of nonpilot stocks (control group). The findings are consistent with the Diamond and Verrecchia model that predicts that short-selling increases the speed of adjustment of stock prices to private negative information. In the cross-section, the effect of Reg SHO is stronger in stocks of firms with weak and uncertain information environments (i.e., small firms and firms with high analyst forecast dispersion).     

Vertical Integration,Firms’ Entry,Exit, Strategic Shifts,Age, and The Productivity Growth in Korea's Core Growth‐Leading Industries

This study attempts to measure the impact of firms’ entry, exit, strategic shifts, and age on the productivity growth of Korea's three core growth‐leading industries and their vertical integration with capital share (VI) firms and non‐VI (NVI) firms in view of the 2008 global financial crisis and the institutional push by the Korean Government. A stochastic frontier production model was applied to firm‐level panel data from 2006 to 2011 for Korea's automobile, electronics and general machinery industries. The results show that exogenous shocks to the market triggered large‐scale resource reallocations from firms with declining productivity to firms with less declining or rising productivity, and market share reallocation between VI firms and NVI firms. The Korean Government's institutional push led the productivity growth of NVI firms to reach their highest levels in 2010. In a VI structure, a structure comprising VI firms only, the agency problem dominated the synergies of secure supply chains and saving on transaction costs, while NVI firms endeavoured to raise their productivity to step into a VI structure to secure stable supply chains, only to find their R&D initiatives stagnated once they took on the VI structure. Therefore, efficient resource reallocation is hindered by the agency problem within the bounds of vertically integrated industrial structures.     

Forecast of realized covariance matrix based on asymptotic distribution of the LU decomposition with an application for balancing minimum variance portfolio

We derive the asymptotic distribution for the LU decomposition, that is, the Cholesky decomposition, of realized covariance matrix. Distributional properties are combined with an existing generalized heterogeneous autoregressive (GHAR) method for forecasting realized covariance matrix, which will be referred to as a generalized HARQ (GHARQ) method. An out-of-sample forecast comparison of a real data set shows that the proposed GHARQ method outperforms other existing methods in terms of optimizing the variances of portfolios.     

Subnational home market bias in Vietnam: Evidence from enterprise‐level data

This paper contributes to the home (market) bias literature where administrative or political borders limit trade across borders. Home bias is well documented at the national and subnational level. To sort out macro (e.g., location characteristics) and micro (e.g., enterprise characteristics) factors behind home bias, we use small and medium‐sized enterprise (SME) data from Vietnam. Using the fractional multinomial logit model, we find that the proportion of SME sales outside of their home markets is positively associated with enterprise size, age, number of business association memberships and the distance of SMEs' most important supplier. In contrast, the proportion of SME sales to neighbouring provinces is negatively associated with the share of SME production for final consumption. Besides enterprise‐level frictions, market characteristics matter too. The proportion of SME sales to customers in their home markets is negatively associated with home or neighbouring provinces' governance quality, while the proportion of sales to customers in neighbouring provinces is positively associated with these areas' governance quality. These suggest that good governance frees SME resources for use in selling to less familiar markets.