规模折扣与规模惩罚:债券市场的交易成本

Gábor Pintér, Chaojun Wang, Junyuan Zou
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引用次数: 4

摘要

我们表明,在政府债券市场上,较大的交易产生较低的交易成本(“规模折扣”),但在控制客户身份(“规模惩罚”)后,交易规模的成本增加。规模折扣是由大型交易商获得更好价格的跨客户差异驱动的,这与不完全竞争交易理论一致。由于客户内部差异,公司债券、重大宏观经济意外以及2019冠状病毒病期间的规模损失更大。这些差异在更复杂的客户中更大,这与信息不对称理论是一致的。我们提出了一个双边议价和逆向选择的交易模型,以合理化规模惩罚和折扣的共存。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Size Discount and Size Penalty: Trading Costs in Bond Markets
We show that larger trades incur lower trading costs in government bond markets (“size discount”), but costs increase in trade size after controlling for clients’ identities (“size penalty”). The size discount is driven by the cross-client variation of larger traders obtaining better prices, consistent with theories of trading with imperfect competition. The size penalty, driven by within-client variation, is larger for corporate bonds and during major macroeconomic surprises as well as during COVID-19. These differences are larger among more sophisticated clients, consistent with theories of asymmetric information. We propose a trading model with bilateral bargaining and adverse selection to rationalize the co-existence of the size penalty and discount.
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