Economics of blockchain-based securities settlement

We undertake economic modeling of the behavior of participants in blockchain-based securities settlement implemented through hashed timelock contracts (HTLCs). HTLCs have been noted to have the problem of failure when one of the participants attempted to void the transaction by making a late signature. We propose that the premium should be paid by a structurally favorable participant and show that failure due to late signatures rarely occurs according to the utilities of the participants after the introduction of the premium theoretically. Then we conduct quantitative analysis using KRX bond settlement data and show that the proposed method provides better settlement results than the benchmark model. In particular, our results help regulator or policy makers consider fintechs in their regulatory and policy decisions without significantly departing from their original framework.     

Information disclosure and liquidity crisis

We analyze a model in which a firm’s manager privately learns about the expected return on the firm’s project and strategically discloses it to investors (i.e., discretionary disclosure). Based on the manager’s disclosure, investors decide whether to withdraw their investments from the firm. Our analysis indicates that investors’ optimistic prior beliefs in the firm reduce the possibility of their withdrawals and the manager’s incentive of discretionary disclosure, whereas pessimistic beliefs increase them. We further examine the effects of a commitment to reporting of bad news, namely, the conservative disclosure rule. This rule always suppresses the manager’s incentive of discretionary disclosure; however, it increases (reduces) investors’ withdrawals when they are optimistic (pessimistic) about the firm’s project.     

Optimal seller strategy in overlapping auctions

Little research has been conducted on a common phenomenon in today's online environment: the concurrent selling of identical products in online auctions. To fill this gap, the current research proposes a game-theoretical model to analyze the seller's optimal strategy for selling two identical items in overlapping auctions. The overlap is modeled endogenously (as the seller's decision), trading off multiple influences including the positive effect on the overlap from bidders' forward-looking behavior and the seller's time discounting, versus the negative impact from bidders' learning and varied demand (i.e., bidder entry). The combined impact of these factors governs the conditions for which a simultaneous, sequential, or partially overlapping strategy is optimal. When the effect of bidders' forward-looking behavior and/or the seller's time discounting dominates, running simultaneous auctions is optimal; when bidders' learning (and bidder entry) dominates, running sequential auctions is optimal. Partially overlapping auctions are optimal when neither effect dominates and the opposing effects are offsetting.     

Structural break in different stock index markets in China

This paper first presents a two-stage change point estimation approach in the framework of online analysis to detect the Chinese stock market abrupt variations during the period from 4 January 2005 to 10 December 2021. As a check, the pruned exact linear time (PELT) algorithm method is applied to detect structural changes in the framework of offline analysis in terms of all data. We select four representative indices in Chinese markets to find some important time-stamp tags. The results show that all indices can detect some common events, while the small-cap and small-mid-cap indices can identify local risks such as China’s market freezing. Besides, we find some events such as the global financial crisis and China’s market freezing can incur the inverse anomaly with higher volatility in lower reward.     

Marketplace,reseller, or web-store channel: The impact of return policy and cross-channel spillover from marketplace to web-store

With the advent of e-commerce, new platform sales have been created in the online retailing industry, and choosing the best platform has become a challenge for manufacturers. For instance, marketplace and web-store are two e-channels for selling goods directly to end customers. In the marketplace, manufacturers sell their products directly to online customers through e-tailers' platforms and share revenue with e-tailers. In the web-store channel, manufacturers sell their products directly to end customers through their platforms and do not need to e-tailers' platforms. However, some manufacturers and e-tailers continue with reseller channel yet. Reseller channel is another conventional channel in which manufacturers distribute their products to e-tailers, then e-tailers choose retail prices and sell them to consumers. Therefore, with these three different channels, the key question is when and under what conditions manufacturers can choose marketplace or reseller channel in addition to their web-store channels to grow their market share. In this paper, we analyze these three different e-channels and the conditions that manufacturers adopt the marketplace or reseller channel. For this purpose, we consider a model with two manufacturers and one e-tailer in which the manufacturers have their web-store channels, and they are willing to adopt another channelـ reseller or marketplace. The manufacturers offer a return policy in their web-store channels as a competitive strategy for attracting more customers. We find that offering return policy in web-store channels has no effect on the choice between the marketplace and reseller channel, but it has an impact on the amount of manufacturers' profits in each channel. Also, we demonstrate that regardless of offering return policy, as the coefficient of cross-channel effect increases, the manufacturers' profits, whether they choose reseller channel or marketplace channel, increase. But, as the coefficient of cross-channel effect increases, the e-tailer's profit increases when both manufacturers choose reseller channel, otherwise decreases. If manufacturers offer a return policy, the e-tailer's profit is highest when both manufacturers choose reseller channel, and if they do not offer a return policy, the e-tailer's profit is highest when both manufacturers choose marketplace channel.     

A study on promotion with strategic two-stage customized bundling

In order to enhance both purchase willingness and consumer satisfaction, firms may sell products in a customized bundling way, with which consumers are allowed to select their preferred products to form a bundle. However, such a way needs to be carried out with an efficient strategic tool. This study contributes to the literature by proposing a two-stage customized bundling strategy with the aims of maximizing the firm's profit and satisfying the consumers' demands. The proposed strategy may assist managers in enhancing consumer satisfaction and loyalty under consideration of consumer heterogeneity. Consumers can select one main product with the greatest utility from the main product category at the first stage, and then, at the second, consider the associations between the chosen main and possible add-on products in the add-on product category, and finally select an add-on product to form a customized bundle with the greatest overall utility. Pricing strategies are investigated and compared for the customized and other traditional bundling strategies. The results show that when consumers are highly sensitive in their preferences, the use of a customized bundling strategy would be more profitable. However, in an extreme case when the consumer's perceived value of the add-on product and product association are both high, the traditional individual sales strategy would earn more profits than the customized bundling strategy.     

Short-term or long-term cooperation between retailer and MCN? New launched products sales strategies in live streaming e-commerce

Nowadays, live streaming e-commerce has become popular all over the world. In this paper, we study the pricing strategy of new products when they are launched in live streaming considering the consumer uncertainty and network externalities. We characterize the impact of live streaming into two dimensions, emotional support and information support, and investigate how those two dimensions impact the choice of cooperation types and the revenue distribution between the retailer and MCN (Multi-Channel Network). Using a two-stage vertical model, we find that, with the low consumer uncertainty, the MCN induces the retailer to choose the cooperation type depending on the emotional support level, but with the high consumer uncertainty, it depends on the information support level. For new-product pricing strategy, whether to adopt the penetration pricing strategy or the skimming pricing strategy depends on the impact of live streaming, the consumer uncertainty and network externalities. Interestingly, the commission price does not increase with the consumer uncertainty. An important implication for the retailer is that, reducing consumer uncertainty may not be beneficial to the total profit.     

COVID-19 crisis and the efficiency of Indian banks: Have they weathered the storm?

The purpose of this study is to determine whether Indian banks were able to weather the COVID-19 storm. We estimate banks’ deposits-generating and operating efficiencies using a two-stage directional distance function-based network data envelopment analysis (DDF-NDEA) approach and seek to capture the immediate impact of COVID-19 on these efficiency measures by comparing their magnitudes in the pre-pandemic (2014/15–2019/20), just 1-year prior to the pandemic (2019/20), and during the pandemic year (2020/21) periods. The study looks at whether the impact of the COVID-19 pandemic was uniform across ownership types and size classes. The empirical findings suggest that the Indian banking system was resilient and withstood the immediate impact of the COVID-19 pandemic. During the study period, however, the large and medium-sized banks experienced some efficiency losses. By and large, regardless of bank group, banks have shown resilience to the shock of the global health pandemic and improvements in efficiency.