Anmol Ratan
Papers
1
Total Citations
3
H-Index
1
About
Anmol Ratan is a researcher whose work sits at the intersection of market design, behavioral economics, and computational social science. His most cited paper, "Profitability, efficiency, and inequality in double auction markets with snipers" (2019), investigates how strategic late bidding—or "sniping"—affects market outcomes. Through careful analysis, Ratan demonstrates that sniping can reduce overall market efficiency while simultaneously increasing inequality among traders, with early bidders losing out to more opportunistic participants. This work contributes to a deeper understanding of how micro-level strategies shape macro-level market dynamics, with implications for the design of online auction platforms and financial exchanges. Though his citation count is modest (3 citations for his top paper), the research is notable for its timely relevance in an era of high-frequency trading and automated bidding. Ratan’s approach combines rigorous theoretical modeling with empirical insights, making his findings valuable for both academics and practitioners seeking to create fairer, more efficient trading environments. His work stands as a thoughtful contribution to the ongoing conversation about fairness and efficiency in modern markets.
Research Focus
Key Achievements
Top Papers
- 1