scholarly journals Zeros

2020 ◽  
Vol 66 (8) ◽  
pp. 3466-3479 ◽  
Author(s):  
Federico M. Bandi ◽  
Aleksey Kolokolov ◽  
Davide Pirino ◽  
Roberto Renò
Keyword(s):  
Asset Prices ◽  
Trading Volume ◽  
Trading Activity ◽  
Stylized Facts ◽  
Economic Phenomenon ◽  
Option Returns ◽  
Market Friction ◽  
Price Adjustments ◽  
Institutional Features

Asset prices can be stale. We define price staleness as a lack of price adjustments yielding zero returns (i.e., zeros). The term idleness (respectively, near idleness) is, instead, used to define staleness when trading activity is absent (respectively, close to absent). Using statistical and pricing metrics, we show that zeros are a genuine economic phenomenon linked to the dynamics of trading volume and, therefore, liquidity. Zeros are, in general, not the result of institutional features, like price discreteness. In essence, spells of idleness or near idleness are stylized facts suggestive of a key, omitted market friction in the modeling of asset prices. We illustrate how accounting for this friction may generate sizable risk compensations in short-dated option returns. This paper was accepted by Kay Giesecke, finance.

scholarly journals Asset Prices and Trading Volume Under Fixed Transactions Costs

10.3386/w8311 ◽  
2001 ◽  
Author(s):  
Andrew Lo ◽  
Harry Mamaysky ◽  
Jiang Wang
Keyword(s):  
Asset Prices ◽  
Trading Volume ◽  
Transactions Costs

Asset Prices and Trading Volume in a Beauty Contest

1998 ◽  
Vol 65 (2) ◽  
pp. 307-340 ◽  
Author(s):  
Bruno Biais ◽  
Peter Bossaerts
Keyword(s):  
Asset Prices ◽  
Trading Volume ◽  
Beauty Contest

scholarly journals Collective dynamics of dark web marketplaces

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Abeer ElBahrawy ◽  
Laura Alessandretti ◽  
Leonid Rusnac ◽  
Daniel Goldsmith ◽  
Alexander Teytelboym ◽  
...  
Keyword(s):  
Trading Volume ◽  
Trading Activity ◽  
Collective Dynamics ◽  
Trading Volumes ◽  
The One ◽  
Dark Web ◽  
User Protection

Abstract Dark web marketplaces are websites that facilitate trade in illicit goods, mainly using Bitcoin. Since dark web marketplaces are unregulated, they do not offer any user protection, so police raids and scams regularly cause large losses to marketplace participants. However, the uncertainty has not prevented the proliferation of dark web marketplaces. Here, we investigate how the dark web marketplace ecosystem reorganises itself following marketplace closures. We analyse 24 separate episodes of unexpected marketplace closure by inspecting 133 million Bitcoin transactions among 38 million users. We focus on “migrating users” who move their trading activity to a different marketplace after a closure. We find that most migrating users continue their trading activity on a single coexisting marketplace, typically the one with the highest trading volume. User migration is swift and trading volumes of migrating users recover quickly. Thus, although individual marketplaces might appear fragile, coordinated user migration guarantees overall systemic resilience.

scholarly journals Asset Prices and Trading Volume under Fixed Transactions Costs

2004 ◽  
Vol 112 (5) ◽  
pp. 1054-1090 ◽  
Author(s):  
Andrew W. Lo ◽  
Harry Mamaysky ◽  
Jiang Wang
Keyword(s):  
Asset Prices ◽  
Trading Volume ◽  
Transactions Costs

scholarly journals Heterogeneous traders, price-volume signals, and complex asset price dynamics

2005 ◽  
Vol 2005 (1) ◽  
pp. 19-29 ◽  
Author(s):  
Frank H. Westerhoff
Keyword(s):  
Asset Pricing ◽  
Asset Prices ◽  
Trading Volume ◽  
Deterministic Model ◽  
Asset Price ◽  
Pricing Model ◽  
Price Trend ◽  
Asset Pricing Model ◽  
Intrinsic Values ◽  
Current Price

We seek to develop a novel asset pricing model with heterogeneous traders. Fundamental traders expect that asset prices converge towards their intrinsic values, whereas chart traders rely on both price and volume signals to determine their orders. To be precise, the larger the trading volume, the more they believe in the persistence of the current price trend. Simulations of our nonlinear deterministic model reveal that interactions between fundamentalists and chartists may cause intricate endogenous price fluctuations. Contrary to the intuition, we find that chart trading may increase market stability.

Futures and Option Prices After the Stock Market Close: Evidence from the Korean Markets

2008 ◽  
Vol 16 (2) ◽  
pp. 95-125
Author(s):  
Jae Ha Lee ◽  
Sang Soo Kwon
Keyword(s):  
Stock Market ◽  
Trading Volume ◽  
Return Volatility ◽  
Option Prices ◽  
Option Markets ◽  
Option Returns ◽  
Time Zones ◽  
The Impact

In the KOSPI2oo futures and option markets. additional fifteen minutes (15 : 00∼15 개5) after the underlying stock market close are given tor the adjustments of the futures and option positions. During the first five minutes. 15: 00∼15 : 05. a continuous auction trading is made. while the trading at a single clearing price is made for the remaining ten minutes. 15: 05∼15: 15. Previous studies focused on the synchronous trading in terms of transaction time in the analysis of the lead-lag relationship. truncating the futures and option data during 15 : 00∼15 : 15. In this article. we explore how the KOSPI2oo futures and option returns for the extra fifteen minutes impact the next day's KOSPI200 cash returns, We also examine the lead-lag relationship during the reggular trading hours (9 : 00∼15 : 00) and the impact of the cash returns during 14 : 20∼15 : 00 on futures and option returns during 15 : 00∼15: 15. Our main findings are summarized as follows. First. the KOSPI200 futures and option returns during 15 : 00∼15 : 15 lead the close-to-open KOSPI200 cash return, even though the trading volume and return volatility during 15: 00∼15: 15 are lower relative to the regular stock market session (9 : 00∼15: 00). The impact of the futures and option returns on the cash return lasts hlK) minutes and one minute‘ repectively. after the next day open. Second. the option return during the continuous auction trading session (15 : 00∼ 15 : 05) leads the close-to-open cash return. while the futures return of trading at a single clearing price during 15 : 05∼15 : 10 impacts the close-to-open cash return. Third, we found that the lead-lag relationships among the KOSPI200 futures, option, and cash returns are not constant during the reg비ar stock market session‘ In partieular. the impact of the KOSPI200 cash ret un during 14 : 40∼15 : 00 on the futures and option retuns for the 15 : 00∼15: 15 Interval is much stronger. compared with other time zones. Finally. the KOSPI200 cash return during the last ten minutes of trading at a Single clearing price (14 : 50∼15 : 00). significantly impacts the option return during 15: 00∼15: 05. while there is no impact on the futures return (15 : 00∼15: 15).

The Real Side of the High-Volume Return Premium

2021 ◽  
Author(s):  
Doron Israeli ◽  
Ron Kaniel ◽  
Suhas A. Sridharan
Keyword(s):  
Stock Returns ◽  
Trading Volume ◽  
Financial Constraints ◽  
High Volume ◽  
Cash Flows ◽  
Positive Relation ◽  
Trading Activity ◽  
Earnings Information ◽  
Prior Literature ◽  
Corporate Actions

Prior literature demonstrates that increased trading activity of a firm’s stock is associated with abnormal future stock returns (the high-volume return premium) and interprets this phenomenon as evidence that increased visibility generates reductions in cost of capital. Motivated by this interpretation, we investigate whether increased trading activity entails changes in real corporate actions. We document a positive relation between abnormal trading volume, future investment expenditures, and financing cash flows. This positive relation is not subsumed by the arrival of investment-related news or other corporate disclosures or by subsequent earnings information and is concentrated among firms with high financial constraints and firms with lower levels of investor recognition. This paper was accepted by David Simchi-Levi, finance.

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