scholarly journals Why would you buy an electric car on Jetski Friday? Or, a critique of financial markets from an options trading room

2021 ◽  
Vol 7 (2) ◽  
pp. 113-29
Author(s):  
Daniel Souleles
Keyword(s):  
Financial Markets ◽  
Careful Attention ◽  
Options Market ◽  
Business People ◽  
Market Makers ◽  
Pricing Options ◽  
Electric Car ◽  
Options Trading ◽  
News Events ◽  
Cascade Effects

This article presents a close, dialogue-based ethnographic account of a group of contemporary options market makers making a decision about pricing options in Tesla, Inc. Careful attention to their deliberations reveals how the rise of algorithms and automation on financial markets have rendered traders alienated and estranged from the markets they work on for their livelihood. This alienation arises, in part, due to novel cascade effects between futures and underlying equities, which algorithmic and automated trading seems to afford, and which also relate to news events as well as the actions of politicians and prominent business people. Emerging from this alienation, traders produce a critique of how highly automated financial markets allocate capital and how ripe they are for political manipulation.

Volatility Forecast Incorporating Investors’ Sentiment and its Application in Options Trading Strategies: A Behavioural Finance Approach at Nifty 50 Index

2020 ◽  
Vol 24 (2) ◽  
pp. 217-227
Author(s):  
Kelvin Mutum
Keyword(s):  
Decision Making ◽  
Investor Sentiment ◽  
Trading Strategies ◽  
Percentage Error ◽  
Forecasting Model ◽  
Decision Making Process ◽  
Options Market ◽  
Volatility Forecasting ◽  
Behavioural Finance ◽  
Options Trading

The present study was to examine whether the performance of options trading strategies can be improved if volatility forecasting incorporating investors’ sentiment was incorporated in the decision-making process at the Indian options market. The study adopted the multiple-factor model to build the Indian volatility forecasting model. The benchmark forecasting model (BMF) includes absolute daily returns (|RA|), daily high–low range (HLR) and daily realized volatility (RV). The proxies of investors’ sentiment considered in the study were India volatility index (IVIX), advance decline ratio (ADR), put-call open interest (PCOI) and their changes. The results of the causality and regression test indicate that investors’ sentiment and their changes should be included in the forecasting model. Mean absolute percentage error (MAPE) indicates that 15-day holding period shows the minimum error. Straddle strategies were simulated 15 days ahead before the options maturity date base on the direction of the forecast for different volatility forecasting models. The simulation result shows that the options trading performance might be improved if volatility forecasting incorporating investor sentiment, particularly IVIX, was incorporated in the decision-making process at the Indian options market. From the behavioural finance point of view, the study bridges the gap between options trading, volatility forecasting and information content of investors’ sentiment at the Indian financial market.

scholarly journals Behavioral agent-based framework for interacting financial markets

2020 ◽  
Vol 5 (2) ◽  
pp. 94-115
Author(s):  
Heba M. Ezzat
Keyword(s):  
Financial Markets ◽  
Trading Strategy ◽  
Past Performance ◽  
Time Step ◽  
Monetary Policies ◽  
Content Type ◽  
Agent Based ◽  
Market Makers ◽  
Novel Approach ◽  
Excess Volatility

Purpose This paper aims at developing a behavioral agent-based model for interacting financial markets. Additionally, the effect of imposing Tobin taxes on market dynamics is explored. Design/methodology/approach The agent-based approach is followed to capture the highly complex, dynamic nature of financial markets. The model represents the interaction between two different financial markets located in two countries. The artificial markets are populated with heterogeneous, boundedly rational agents. There are two types of agents populating the markets; market makers and traders. Each time step, traders decide on which market to participate in and which trading strategy to follow. Traders can follow technical trading strategy, fundamental trading strategy or abstain from trading. The time-varying weight of each trading strategy depends on the current and past performance of this strategy. However, technical traders are loss-averse, where losses are perceived twice the equivalent gains. Market makers settle asset prices according to the net submitted orders. Findings The proposed framework can replicate important stylized facts observed empirically such as bubbles and crashes, excess volatility, clustered volatility, power-law tails, persistent autocorrelation in absolute returns and fractal structure. Practical implications Artificial models linking micro to macro behavior facilitate exploring the effect of different fiscal and monetary policies. The results of imposing Tobin taxes indicate that a small levy may raise government revenues without causing market distortion or instability. Originality/value This paper proposes a novel approach to explore the effect of loss aversion on the decision-making process in interacting financial markets framework.

Skewness of Kurtosis?: Using Corrado and Su (1996)‘s Model

2008 ◽  
Vol 16 (1) ◽  
pp. 1-20
Author(s):  
Sol Kim
Keyword(s):  
Options Market ◽  
Index Options ◽  
Pricing Options ◽  
Risk Neutral ◽  
Out Of Sample ◽  
S Model ◽  
Skewness And Kurtosis

For the KOSPI 200 index options market. we examine the power of influence on pricing options of the skewness and the kurtosis of the risk neutral distribution. We compare the Black and Scholes (1973) model which does not consider the skewness or the kurtosis of the risk neutral distribution with Corrado and sue 1996)’s model which consider both the skewness and the kurtosis and the models which consider only the skewness or the kurtosis. It is found that Corrado and sue 1996)‘s model which consider both skewness and kurtosis shows the best performance closely followed by the model which consider only the skewness for tile in-sample pricing and the out-of-sample pricing. As a result. it contributes to pricing options to consider both skewness and kurtosis and the skewness is more important factor for pricing options than the kurtosis.

High-Frequency Trading and Conflict in the Financial Markets

2017 ◽  
Vol 32 (3) ◽  
pp. 270-282 ◽  
Author(s):  
Ricky Cooper ◽  
Jonathan Seddon ◽  
Ben Van Vliet
Keyword(s):  
Financial Markets ◽  
High Frequency ◽  
High Frequency Trading ◽  
Market Makers ◽  
Market Participants ◽  
Software Vendor ◽  
Traditional Market ◽  
Recent Developments ◽  
The Way

The last few decades has seen an ever-increasing growth in the way activities are productized and associated with a financial cost. This phenomenon, termed financialization, spans all areas including government, finance, health and manufacturing. Recent developments within finance over that past decade have radically altered the way trading occurs. This paper analyses high-frequency trading (HFT) as a necessary component of the infrastructure that makes financialization possible. Through interviews with HFT firms, a software vendor, regulators and banks, the effects of HFT on market efficiency, and its impact on costs to long-term investors are explored. This paper contributes to the literature by exploring the conflict that exists between HFT and traditional market makers in today's fragmented markets. This paper argues that society should be unconcerned with this conflict and should instead focus on the effects these participants have on the long-term investors, for whom the markets ultimately exist. In order to facilitate the best outcomes, regulation should be simple, aimed at keeping participants’ behavior stable, and the interactions among them transparent and straightforward. Financialization and HFT are inextricably linked, and society is best served by ensuring that the creative energy of these market participants is directed on providing liquidity and removing inefficiencies.

Hedging by Options Market Makers: Theory and Evidence

2012 ◽  
Author(s):  
Sahn-Wook Huh ◽  
Hao Lin ◽  
Antonio S. Mello
Keyword(s):  
Options Market ◽  
Market Makers

The contribution of market makers to liquidity and efficiency of options trading in electronic markets

2006 ◽  
Vol 30 (7) ◽  
pp. 2025-2040 ◽  
Author(s):  
Rafi Eldor ◽  
Shmuel Hauser ◽  
Batia Pilo ◽  
Itzik Shurki
Keyword(s):  
Electronic Markets ◽  
Market Makers ◽  
Options Trading

Firm opacity and informed trading around spinoffs

2018 ◽  
Vol 19 (3) ◽  
pp. 262-276 ◽  
Author(s):  
Yuan Wen
Keyword(s):  
Stock Returns ◽  
Design Methodology ◽  
Informed Trading ◽  
Options Market ◽  
Organizational Complexity ◽  
Content Type ◽  
Abnormal Stock Returns ◽  
Options Trading ◽  
The Relationship ◽  
Corporate Spinoffs

Purpose This paper aims to examine the prevalence of informed trading around corporate spinoffs and the relation between firm opacity and informed trading using option market data. Design/methodology/approach The author investigates the prevalence of informed trading by examining the relationship between abnormal stock returns associated with spinoffs and the volatility spread/volatility skewness of options prior to the spinoffs. Furthermore, the author examines how opacity and organizational complexity prior to the spinoffs affect informed trading. Findings The study shows that option volatility spread and volatility skewness for the five days prior to the spinoffs can predict the abnormal stock returns on the spinoff announcement days, suggesting that there is informed trading in the options market prior to spinoffs. The study shows that informed trading is more prevalent for firms that are more opaque prior to the spinoff. Furthermore, informed trading decreases after spinoffs. Originality/value To the best of knowledge, this is the first empirical research that examines the prevalence of informed trading around spinoffs by using options volatility spread/skewness and the relation between firm opacity and informed options trading.

scholarly journals The Importance of Innovation And Creativity in Digital Technology

2021 ◽  
Author(s):  
haqqan amien
Keyword(s):  
Economic Policy ◽  
Financial Markets ◽  
Capital Markets ◽  
Digital Technology ◽  
Price Competition ◽  
Foreign Capital ◽  
Economic Stability ◽  
Investor Confidence ◽  
Business People ◽  
Competitive Price

Indonesia is a country that still today has an appeal in the eyes of investors and business people. This is due to portfolio instruments in financial markets and capital markets. And also Indonesia has a fairly large market, competitive price competition, and has a high purchasing power. This is a special feature of indonesia is different from other countries. The flow of foreign capital into the portfolio instumen is a form of Investor confidence for indonesia's economic stability and includes the prospects and projections of Indonesia's economic policy.

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